Non-uniform constellations

ABSTRACT

A method for generating a non-uniform constellation is provided. The method comprises the step of performing a first process, the first process comprising the steps of: obtaining a first constellation defined by one or more parameter values; and generating a second constellation based on the first constellation using a second process. The second process comprises the steps of: obtaining a set of candidate constellations, wherein the set of candidate constellations comprises the first constellation and one or more modified constellations, wherein each modified constellation is obtained by modifying the parameter values defining the first constellation; determining the performance of each candidate constellation according to a predetermined performance measure; selecting the candidate constellation having the best performance as the second constellation.

CROSS-REFERENCE TO RELATED PATENT APPLICATIONS

This is a Continuation of U.S. application Ser. No. 16/678,536, filed Nov. 8, 2019, which is a continuation of U.S. application Ser. No. 15/818,480, filed Nov. 20, 2017, which issued as U.S. Pat. No. 10,505,780 on Dec. 10, 2019, which is a continuation of U.S. application Ser. No. 14/910,948 filed Feb. 8, 2016, which issued as U.S. Pat. No. 9,866,423 on Jan. 9, 2018, and which is a National Stage Entry of PCT Application No. PCT/KR2014/006125, filed on Jul. 8, 2014, which claims priority from United Kingdom Patent Application 1312243.7 filed on Jul. 8, 2013; United Kingdom Patent Application 1313419.2 filed on Jul. 26, 2013; United Kingdom Patent Application 1315740.9 filed on Sep. 4, 2013; United Kingdom Patent Application 1319202.6 filed on Oct. 30, 2013; United Kingdom Patent Application 1401711.5 filed on Jan. 31, 2014; United Kingdom Patent Application 1410114.1 filed on Jun. 6, 2014; and United Kingdom Patent Application 1410222.2 filed on Jun. 9, 2014. The entire disclosures of all the prior applications are considered part of the disclosure of the accompanying application and are hereby incorporated by reference in their entirety.

TECHNICAL FIELD

The present invention relates generally to methods, apparatus and systems for designing non-uniform constellations for signal transmission. More particularly, although not exclusively, the present invention relates to methods, apparatus and systems for designing non-uniform constellations that maximise performance, for example with respect to capacity and Signal to Noise Ratio (SNR) gain compared to uniform constellations, and for designing high-order non-uniform constellations.

BACKGROUND ART

In digital modulation schemes, data symbols are transmitted by modulating the amplitude and/or phase of a carrier wave having a certain frequency. For example, a data symbol typically represents an M-bit fragment of data, resulting in N=2^(M) possible symbols. The set of N possible symbols are mapped to a set of N respective fixed complex numbers, which are referred to as constellation points and may be represented in the complex plane in the form of a constellation diagram. In order to transmit a given symbol, a complex carrier wave is multiplied by the value of the constellation point corresponding to the symbol, thereby modulating the amplitude and phase of the carrier by amounts corresponding respectively to the amplitude and phase of the constellation point.

Various constellations designs are used in various modulation schemes, including N-Quadrature Amplitude Modulation (QAM) in which the constellation comprises a square lattice of N regularly-spaced constellation points, and N-Phase Shift Keying (PSK) in which the constellation comprises a circular lattice of N regularly-spaced constellation points. Various other constellation designs are also known.

In order to measure the performance of a given constellation or between different constellations, various metrics may be used.

For example, capacity is a measure of the maximum rate of information that can be reliably transmitted over a communications channel. The maximum theoretical capacity of a channel is given by a well-known formula derived by Shannon. The Coded Modulation (CM) capacity is the maximum capacity achievable using a fixed non-uniform constellation without any coding constraints. The Bit Interleaved Coded Modulation (BICM) capacity is the maximum capacity achievable using a certain binary Forward Error Correction (FEC) scheme and fixed non-uniform constellation.

In addition, when comparing two systems, the difference in Signal-to-Nose Ratio (SNR) required achieving the same Bit Error Rate (BER) may be referred to as the SNR gain.

In contrast to uniform constellations, a non-uniform constellation is a constellation in which the constellation points are not regularly spaced. One advantage of using a non-uniform constellation is that performance may be increased, for example for SNR values below a certain value. For example, the BICM capacity may be increased by using a non-uniform constellation, when compared to an equivalent uniform constellation. Using a non-uniform constellation may also achieve a SNR gain over an equivalent uniform constellation.

A constellation may be characterised by one or more parameters, for example specifying the spacing between constellation points. Since constellation points of a uniform constellation are regularly spaced, the number of parameters needed to characterise a uniform constellation is typically equal to 1. For example, for a QAM type constellation, the constellation is characterised by the (constant) lattice spacing. For a PSK type constellation, the constellation is characterised by the (constant) distance of each constellation point from the origin. On the other hand, since the spacing between constellation points in a non-uniform constellation varies, the number of parameters needed to characterise a non-uniform constellation is relatively high. The number of parameters increases as the order of the constellation (i.e. the number of constellation points) increases.

One problem with designing a non-uniform constellation is that a relatively high number of parameters need to be searched to find the optimum constellation. This problem is increased in the case of constellations of higher order. In the case of high-order constellations (e.g. constellations comprising more than 1024 constellation points), an exhaustive search across all parameters may be unfeasible.

Therefore, what is desired is a technique for designing non-uniform constellations, and in particular, for designing non-uniform constellations for optimising performance (e.g. capacity and SNR performance). What is also desired is a technique for designing non uniform constellations using an algorithm having a relatively low complexity and relatively high computational efficiency.

DISCLOSURE Technical Problem

It is an aim of certain exemplary embodiments of the present invention to address, solve and/or mitigate, at least partly, at least one of the problems and/or disadvantages associated with the related art, for example at least one of the problems and/or disadvantages described above. It is an aim of certain exemplary embodiments of the present invention to provide at least one advantage over the related art, for example at least one of the advantages described below.

Technical Solution

The present invention is defined in the independent claims. Advantageous features are defined in the dependent claims.

In accordance with an aspect of the present invention, there is provided a method for generating a non-uniform constellation. The method comprises the step of performing a first process, the first process comprising the steps of: obtaining a first constellation defined by one or more parameter values; and generating a second constellation based on the first constellation using a second process. The second process comprises the steps of: obtaining a set of candidate constellations, wherein the set of candidate constellations comprises the first constellation and one or more modified constellations, wherein each modified constellation is obtained by modifying the parameter values defining the first constellation; determining the performance of each candidate constellation according to a predetermined performance measure; selecting the candidate constellation having the best performance as the second constellation. The first process further comprises the steps of: determining a difference between the first constellation and the second constellation; and if the second constellation differs from the first constellation by more than a threshold amount, repeating the first process using the second constellation generated in the current iteration of the first process as the first constellation in the next iteration.

Also, the first constellation used in the first iteration of the first process may comprise a uniform constellation.

Also, the first and second constellations may comprise constellations subject to one or more geometric constraints.

Also, the first and second constellations Also, comprise four quadrants, and the geometric constraints may comprise a constraint that the constellation is symmetric about the four quadrants.

Also, wherein the geometric constraints may comprise a constrain that: constellation points are arranged in first and second lines, the first lines being perpendicular to the second lines, the number of first lines is the same as the number of second lines, the same number of constellation points are arranged in each first line, and the same number of constellation points are arranged in each second line.

Also, at least one parameter value may comprise a fixed value.

Also, the first process may comprise the further step of: if the second constellation does not differ from the first constellation by more than the threshold amount, outputting the second constellation as a third constellation.

Also, the step of modifying the parameter values may comprise modifying one or more parameter values by at least a certain step size.

Also, the step of modifying the parameter values may comprises changing one or more parameter values by integer multiples of the step size. Also, the first process may comprise the further steps of: if the second constellation does not differ from the first constellation by more than the threshold amount, determining whether the step size is less than a threshold step size and, if the step size is less than the threshold step size, outputting the second constellation as a third constellation; and, if the step size is greater than or equal to the threshold step size, decreasing the step size and repeating the first process using the second constellation as the first constellation.

Also, the parameters values may comprise two or more parameter values, the step of modifying the parameter values may comprise modifying a subset of the parameter values while keeping the other parameter values fixed, and the method may comprise the step of repeating the first process one or more times, such that a different subset of the parameter values is modified in each iteration of the first process, and wherein the third constellation output in an iteration is used as the first constellation in the next iteration.

Also, the modified constellations of the set of candidate constellations in an iteration of the first process may be exclusive of the constellations of the set of candidate constellations in a previous iteration.

Also, the predetermined performance measure may comprise a performance achieved using a certain candidate constellation and using a defined transmission system, wherein the defined transmission system is defined by a set of one or more system parameter values.

Also, the predetermined performance measure may comprise a weighted sum of two or more component performance measures, wherein each component performance measure comprises a performance achieved using a certain candidate constellation and using a respective defined transmission system, wherein each defined transmission system is defined by a respective set of one or more system parameter values.

Also, when determining the performance of a certain candidate constellation, if any of the component performance measures may be lower than a certain threshold, then that candidate constellation is excluded from the set of candidate constellations.

Also, the parameter value associated with a certain parameter of each defined transmission system may comprise a value falling within a certain range.

Also, the system parameter values may comprise a value indicating a channel type.

Also, the system parameter values may comprise a SNR value.

In accordance with another aspect of the present invention, there is provided a method for generating a non-uniform constellation. The method performs a third process, the third process comprising the steps of: obtaining a third constellation, determining a SNR value as the lowest SNR at which a BER is lower than a threshold value, wherein the BER is a BER achieved using the third constellation and using a certain defined transmission system, obtaining a fourth constellation having the best performance within the defined transmission system at the determined SNR value according to a predetermined performance measure; and repeating the third process using the fourth constellation as the third constellation, until the determined SNR value is minimised, wherein the system parameter values defining the certain defined transmission system comprise the minimised SNR value as a SNR value.

Also, the predetermined performance measure may comprise a channel capacity.

Also, the modified constellations may be obtained by displacing one or more constellation points of the first constellation by at least a certain step size.

Also, the displacement may comprise displacement by an integer multiple of the step size in a radial direction.

Also, the displacement may comprise displacement by an integer multiple of the step size in one or both of first and second orthogonal directions.

In accordance with another aspect of the present invention, there is provided a method for generating a non-uniform constellation. The method comprises the step of performing a fourth process, the fourth process comprising the steps of: generating a third constellation by performing a method according to the preceding aspect, wherein the predetermined performance measure comprises a performance achieved using a certain candidate constellation and using a defined transmission system, wherein the defined transmission system is defined by a set of one or more system parameter values; modifying a system parameter value; determining whether the modified system parameter value satisfies a predetermined condition; and if the modified system parameter value does not satisfy the predetermined condition, repeating the fourth process using the third constellation as the first constellation.

Also, the system parameter values may comprise a Signal-to-Noise Ratio (SNR) value.

Also, the SNR value may be initialised to a value above a predetermined threshold, and the step of modifying the system parameter value may comprise reducing the SNR value.

Also, the step of reducing the SNR value may comprise reducing the SNR value by a fixed amount.

Also, the predetermined condition may comprise a condition that the SNR value is less than a threshold SNR value.

Also, the system parameter values may comprise a Ricean factor for a Ricean fading channel of the defined transmission system, and the SNR value may comprise a fixed value.

Also, wherein the Ricean factor may be initialised to a value above a predetermined threshold, and the step of modifying the system parameter value may comprise reducing the Ricean factor.

Also, the step of reducing the Ricean factor may comprise reducing the Ricean factor by a fixed amount.

Also, the predetermined condition may comprise a condition that the Ricean factor is less than a threshold Ricean factor. Also, the threshold Ricean factor may be equal to zero.

Also, the first constellation used in the first iteration of the first process may comprise a constellation that achieves optimum performance in an Additive White Gaussian Noise (AWGN) channel having the fixed SNR parameter value.

Also, the fourth process may comprise the further step of: if the modified system parameter value satisfies the predetermined condition, outputting the third constellation as a fourth constellation.

In accordance with another aspect of the present invention, there is provided a method for generating a non-uniform constellation. The method comprises the step of performing a first process, the first process comprising the steps of: obtaining a first constellation; determining a Signal-to-Noise Ratio (SNR) value as the lowest SNR at which a Bit Error Rate (BER) is lower than a threshold value, wherein the BER is a BER achieved using the first constellation and using a defined transmission system, wherein the defined transmission system is defined by a set of one or more system parameter values; and obtaining a second constellation having the best performance within the defined transmission system at the determined SNR value according to a predetermined performance measure.

Also, the step of obtaining the second constellation may comprise retrieving a predetermined constellation from a memory.

Also, the step of obtaining the second constellation may comprise obtaining a constellation by performing a method according to above method.

Also, the first process may comprise the further step of repeating the first process using the second constellation as the first constellation. Also, first process may be repeated a certain number of times.

Also, the first process may be repeated until the determined SNR value is minimised.

Also, the first constellation used in the first iteration of the first process may comprise a uniform constellation.

Also, wherein the step of determining a SNR value may comprise performing a simulation of the defined transmission system.

In accordance with another aspect of the present invention, there is provided a method for obtaining a non-uniform constellation, the method comprising the steps of: obtaining a first constellation defined by one or more parameters; obtaining a set of candidate constellations by modifying the values of one or more of the parameters of the first constellation; computing the capacities of each candidate constellation; selecting, based on the computed capacities, the best candidate from the set of candidate constellations as a second constellation; determining whether the second constellation differs from the first constellation by more than a threshold amount; and if the second constellation differs from the first constellation by more than the threshold amount, repeating the preceding steps using the second constellation as the first constellation.

In accordance with another aspect of the present invention, there is provided a method for transmitting data, the method comprising the steps of: mapping data to one or more constellation points of a non-uniform constellation; and transmitting a signal according to the constellation points to which the data are mapped.

In accordance with another aspect of the present invention, there is provided a method for receiving data, the method comprising the steps of: receiving a signal; determining one or more constellation points of a non-uniform constellation corresponding to the received signal; and de-mapping data from the constellation points corresponding to the received signal.

In accordance with another aspect of the present invention, there is provided an apparatus for transmitting data, the apparatus comprising: a mapper for mapping data to one or more constellation points of a non-uniform constellation; and a transmitter for transmitting a signal according to the constellation points to which the data are mapped.

In accordance with another aspect of the present invention, there is provided an apparatus for receiving data, the apparatus comprising: a receiver for receiving a signal; a constellation point determining unit for determining one or more constellation points of a non-uniform constellation corresponding to the received signal; and a de-mapper for de-mapping data from the constellation points corresponding to the received signal.

In certain exemplary embodiments according to any of the above aspects, the non-uniform constellation comprises a constellation according to any one of FIGS. 18-49 or Tables 2-22, or a rotation and/or scaling, and/or other transformation thereof.

In accordance with another aspect of the present invention, there is provided a system comprising: an apparatus for transmitting data according to any embodiment, aspect or claim disclosed herein; and an apparatus for receiving data according to any embodiment, aspect or claim disclosed herein.

In accordance with another aspect of the present invention, there is provided a non-uniform constellation comprising a constellation according to any one of FIGS. 18-49 or Tables 2-22, or a rotation and/or scaling, and/or other transformation thereof.

In accordance with another aspect of the present invention, there is provided an apparatus or system configured for implementing a method or algorithm according to any embodiment, aspect or claim disclosed herein.

In accordance with another aspect of the present invention, there is provided a machine-readable storage medium storing a data structure defining a non-uniform constellation in accordance with any embodiment, aspect or claim disclosed herein.

Another aspect of the present invention provides a computer program comprising instructions arranged, when executed, to implement a method, system and/or apparatus in accordance with any embodiment, aspect or claim disclosed herein. A further aspect provides machine-readable storage storing such a program.

Other aspects, advantages, and salient features of the invention will become apparent to those skilled in the art from the following detailed description, which, taken in conjunction with the annexed drawings, disclose exemplary embodiments of the invention.

DESCRIPTION OF DRAWINGS

The above and other aspects, and features and advantages of certain exemplary embodiments and aspects of the present invention will be more apparent from the following detailed description when taken in conjunction with the accompanying drawings, in which:

FIG. 1 is a schematic diagram of a first algorithm according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating the steps of the first algorithm;

FIG. 3 illustrates the convergence of C_last with respect to one of the parameters as the first algorithm of FIGS. 1 and 2 is performed;

FIG. 4 illustrates a second algorithm according to an embodiment of the present invention for determining an optimal constellation at a given SNR value S in an AWGN channel;

FIG. 5 illustrates the convergence of the constellation C_best as the second algorithm of FIG. 4 is performed;

FIG. 6 illustrates a third algorithm according to an embodiment of the present invention for determining the optimal constellation at a given SNR value S in a Rician fading channel for a desired Rician factor K_rice;

FIG. 7 illustrates a fourth algorithm according to an embodiment of the present invention for determining the optimal constellation at a given SNR value S in a Rayleigh fading channel;

FIG. 8 illustrates a fifth algorithm according to an embodiment of the present invention for determining an optimal constellation;

FIG. 9 illustrates a process for obtaining an optimal constellation for a specific system;

FIG. 10 illustrates an exemplary BER versus SNR plot for 64-QAM using a Low-Density Parity-Check, LDPC, coding rate (CR) of 2/3 from DVB-T2 in an AWGN channel;

FIG. 11 illustrates a sixth algorithm according to an embodiment of the present invention for determining an optimal constellation;

FIG. 12 further illustrates the sixth algorithm illustrated in FIG. 11 ;

FIG. 13 a illustrates a uniform constellation (64-QAM), FIG. 13 b illustrates a non-uniform constellation (64-QAM) characterised by 3 parameters, and FIG. 13 c illustrates a non-uniform constellation (64-QAM) characterised by 16 parameters;

FIG. 14 a illustrates a set of BER curves obtained using a non-uniform 16-QAM constellation using respective code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, and a set of BER curves obtained using a corresponding uniform 16-QAM constellation using the same code rates;

FIG. 14 b is a table indicating, for various code rates, the SNR values at the waterfall zone for the uniform and non-uniform constellations used to obtain the BER curves illustrated in FIG. 14 a , and the resulting SNR gain;

FIGS. 15 a-17 b illustrate BER curves and tables, similar to those illustrated in FIGS. 14 a and 14 b , for 64-QAM, 256-QAM and 1024-QAM;

FIGS. 18-25 illustrate exemplary non-uniform 16-QAM constellations obtained by applying the algorithms illustrated in FIGS. 1-12 , using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively;

FIGS. 26-33 illustrate exemplary non-uniform 64-QAM constellations obtained by applying the algorithms illustrated in FIGS. 1-12 , using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively;

FIGS. 34-41 illustrate exemplary non-uniform 256-QAM constellations obtained by applying the algorithms illustrated in FIGS. 1-12 , using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively;

FIGS. 42-49 illustrate exemplary non-uniform 1024-QAM constellations obtained by applying the algorithms illustrated in FIGS. 1-12 , using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively;

FIG. 50 illustrates a process for obtaining the waterfall SNR for a certain channel type according to certain exemplary embodiments;

FIG. 51 schematically illustrates a process for obtaining a weighted performance measure function for an input constellation based on different transmission scenarios according to certain exemplary embodiments;

FIG. 52 illustrates a process for obtaining an optimum constellation according to certain exemplary embodiments;

FIGS. 53 a and 53 b illustrate alternative schemes for generating a candidate constellation from a previous constellation according to certain exemplary embodiments;

FIG. 54 illustrates a technique for reducing complexity in certain exemplary embodiments;

FIG. 55 illustrates an apparatus for implementing an algorithm according to an exemplary embodiment; and

the Annexes to the Description illustrate results obtained from various embodiments of the present invention.

MODE FOR INVENTION

The following description of exemplary embodiments of the present invention, with reference to the accompanying drawings, is provided to assist in a comprehensive understanding of the present invention, as defined by the claims. The description includes various specific details to assist in that understanding but these are to be regarded as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope of the invention.

The same or similar components may be designated by the same or similar reference numerals, although they may be illustrated in different drawings.

Detailed descriptions of techniques, structures, constructions, functions or processes known in the art may be omitted for clarity and conciseness, and to avoid obscuring the subject matter of the present invention.

The terms and words used herein are not limited to the bibliographical or standard meanings, but, are merely used by the inventors to enable a clear and consistent understanding of the invention.

Throughout the description and claims of this specification, the words “comprise”, “contain” and “include”, and variations thereof, for example “comprising”, “containing” and “including”, means “including but not limited to”, and is not intended to (and does not) exclude other features, elements, components, integers, steps, processes, functions, characteristics, and the like.

Throughout the description and claims of this specification, the singular form, for example “a”, “an” and “the”, encompasses the plural unless the context otherwise requires. For example, reference to “an object” includes reference to one or more of such objects.

Throughout the description and claims of this specification, language in the general form of “X for Y” (where Y is some action, process, function, activity or step and X is some means for carrying out that action, process, function, activity or step) encompasses means X adapted, configured or arranged specifically, but not necessarily exclusively, to do Y.

Features, elements, components, integers, steps, processes, functions, characteristics, and the like, described in conjunction with a particular aspect, embodiment, example or claim of the present invention are to be understood to be applicable to any other aspect, embodiment, example or claim described herein unless incompatible therewith.

Embodiments of the present invention may be implemented in the form of any suitable method, system and/or apparatus for use in digital broadcasting, for example in the form of a mobile/portable terminal (e.g. mobile telephone), hand-held device, personal computer, digital television and/or digital radio broadcast transmitter and/or receiver apparatus, set-top-box, etc. Any such system and/or apparatus may be compatible with any suitable existing or future digital broadcast system and/or standard, for example one or more of the digital broadcasting systems and/or standards referred to herein.

A non-uniform constellation according to embodiments of the present invention may be generated or obtained using any suitable method or algorithm comprising steps for generating or obtaining such a non-uniform constellation. A non-uniform constellation according to embodiments of the present invention may be generated or obtained by any suitably arranged apparatus or system comprising means for generating or obtaining such a non-uniform constellation. The methods or algorithms described herein may be implemented in any suitably arranged apparatus or system comprising means for carrying out the method or algorithm steps.

Certain embodiments of the present invention provide an algorithm for obtaining a non-uniform constellation. A non-uniform constellation obtained in certain embodiments of the present invention may provide a higher capacity than an equivalent uniform constellation (e.g. a uniform constellation of the same order). Certain embodiments of the present invention may obtain an optimised non-uniform constellation using an algorithm with relatively low complexity and relatively high computational efficiency. For example, an algorithm in certain embodiments of the present invention may obtain an optimised non-uniform constellation much faster that an algorithm using a brute force method that searches all (or a high proportion of) possible candidate constellations. Certain embodiments of the present invention provide an algorithm for obtaining optimised non-uniform constellations suitable for very high-order constellation (e.g. comprising more than 1024 constellation points).

Various embodiments are described below in which Non-Uniform (NU) Quadrature Amplitude Modulation (QAM) constellations are obtained. However, the skilled person will appreciate that the present invention is not limited to QAM constellations, but may be applied to other types of constellation.

As mentioned above, a constellation may be characterised by a number of parameters, for example specifying the spacings between constellation points, or specifying the position of each positive real level (the complete constellations may be obtained from these parameters because the constellations are the same for real and imaginary axis and the same for positive and negative values). In order to obtain an optimum constellation, a brute force approach may be taken in which combinations of values for each of the parameters are searched with a certain step size up to a certain maximum value. Each combination of values for each parameter corresponds to a distinct constellation. The constellation having the best performance is selected.

However, in certain embodiments, the number of parameters may be reduced by imposing one or more certain geometric and/or symmetry constraints on the constellations. For example, a first constraint may be that the constellations are symmetric among the four quadrants of the constellation. In addition, the constellations may be constrained in that the constellation points are arranged in a QAM type lattice in which, within each quadrant, (i) constellation points are arranged in horizontal and vertical lines, (ii) the number of horizontal lines is the same as the number of vertical lines, (iii) the same number of constellation points are arranged in each horizontal line, and (iv) the same number of constellation points are arranged in each vertical line. In another example, the constellation may be constrained to be a circular constellation (e.g. a constellation having circular symmetry). Furthermore, constellations having the same relative arrangement, differing only in size, may be regarded as equivalent. In this, case one of the parameters may be set to a fixed value. The skilled person will appreciate that the present invention is not limited to the above examples, and that one or more additional or alternative constraints may be used.

In certain embodiments, a NU-QAM constellation may comprise a constellation conforming to one or more geometric and/or symmetry constraints, for example one or more, or all, of the above constrains, or a rotation and/or scaling thereof. An NU N-QAM constellation may comprise a NU-QAM constellation comprising N constellation points.

By applying the constraints described above, the number of parameters may be reduced, for example to 1, 3, 7, 15, 31 and 63 parameters for constellations comprising 16, 64, 256, 1024, 4096 and 16384 constellation points, respectively. The number of parameters in a reduced set of parameters may be denoted by b. For example b=1 for 16-QAM (in which there are 16 positions that are symmetric on the real/imaginary and positive/negative axes). Thus there are only 2 points to define. Since the total power of the constellation is typically normalized to one then fixing one parameter will fix the other. Thus b=1 for square 16QAM.

In certain embodiments of the present invention, combinations of values for each of the b parameter are searched with a step size d up to a maximum value A. Thus, the number of search iterations is equal to (A/d)^(b).

A first exemplary algorithm according to certain embodiments of the present invention for obtaining an optimum non-uniform constellation for a given SNR will now be described. The algorithm uses an iterative scheme to gradually modify an initial constellation until the constellation converges. For example, the initial constellation may be a uniform constellation, the constellation may be modified by changing the values of the parameters between iterations, and convergence occurs when the values of all the parameters change by less than a threshold amount between iterations. An optimum constellation may be defined as the constellation having the best performance according to any suitable measure. For example, the measure may comprise CM capacity or BICM capacity. In the following example a NU 64-QAM constellation is obtained, in which the (reduced) number of variable parameters, b, is equal to 3.

FIG. 1 is a schematic diagram of the first algorithm and FIG. 2 is a flowchart illustrating the steps of the first algorithm. In the algorithm, the following variables are used. The parameter C_last denotes a particular constellation, corresponding to a particular set of values of the b parameters. The parameter C_last is initialised with a certain initial constellation, for example a uniform constellation. The parameter SNR denotes a Signal-to-Noise Ratio. The SNR parameter is set to a desired value equal to the SNR for which an optimum constellation is desired. The parameter C_best denotes a constellation that maximises performance, for example maximises the CM capacity or BICM capacity, for a given SNR. The parameter d denotes a first step size used in the algorithm. The parameter d (or Step) is initialised to a suitable value that may be determined theoretically and/or experimentally. The parameter Min_Step denotes a minimum allowed value for d, and is set to a fixed value.

In a first step 201, C_last is initialised to an input constellation. In a next step 203, step d is initialised to a value Ini_step. In a next step 205, a set of candidate constellations is obtained. The set of candidate constellations comprise the constellation C_last and one or more modified constellations, where each modified constellation is obtained by modifying one or more of the parameter values defining C_last using any suitable scheme. In the illustrated example, the set of candidate constellations are created based on C_last and step size d, denoted by function CreateSet(C_Last, d). For example, for each constellation point, three derived constellations are generated [C_last, C_last+d, C_last-d]. Specifically, a set of constellations is derived such that the values of the b parameters in C_last are each set to one of n new values varying around the current parameter value. For example, three new values (n=3) may be used, comprising (i) the current parameter value, (ii) a value d greater than the current parameter value, and (iii) a value d less than the current parameter value. For example, if there are two constellation levels to be defined then the number of combinations to be tested are 3×3 (corresponding to three positions for each level). All combinations of the new parameter values are used to generate the set of constellation. Thus, the set of constellations comprises a total of n^(b) constellations. Although three new values for each parameter are used in the embodiment described above, any suitable number of new values may be used in other embodiment. The set of new values may include the old value, or may not include the old value.

In certain embodiments, three values of each level are chosen so that the total number of possibilities to be tested is 3^(b) where b is the number of levels (parameters) to be optimised. In the case of very high-order constellations, for example above 1K, 3^(b) may be very high. In this case, all the levels may be fixed except one, for which three possibilities are tested, C_last, C_last+d and C_last-d until convergence is achieved. The same operation may then be repeated for the other levels. The cost of this operation is multiplicative and not exponential (for example, if it is supposed that each level converges in one iteration then the cost will be 3*b instead 3b.)

In a next step 207, the performance of each constellation in the set of derived (candidate) constellations is calculated or determined using any suitable performance measure (e.g. capacity). In a next step 209 the candidate constellation having the best performance (e.g. the candidate constellation that maximises the capacity) is assigned to C_best. In a next step 211, it is determined whether C_best differs from C_last by more than a threshold amount. For example, in the illustrated example, the threshold amount is equal to zero, so that it is determined whether C_best=C_last. That is, it is determined whether there is any difference between constellation C_best and constellation C_last (e.g. within a certain resolution). The difference may comprise any suitable measure of difference, for example including a difference based on geometry (e.g. differences in the locations of the constellation points of the constellations) and/or a performance measure (e.g. a difference in a certain performance measure between the constellations). If it is determined in step 211 that C_best≠C_last, then in a next step 213, C_last takes the value C_best (i.e. so that the value of C_Last in the next iteration is equal to the value of C_Best in the current iteration) and the method returns to step 205 in which a set of candidate constellations are created based on C_last and step, CreateSet(C_Last, d). On the other hand, if it is determined in step 211 that C_best=C_Last, then, in a next step 215, C_last takes the value C_best and the method moves to a next step 217.

In step 217, it is determined whether d<Min_Step. If it is determined in step 217 that d≥Min_Step then the method moves to a next step 219 in which the step size d is reduced. For example, d is divided by a certain factor (e.g. 2). Following step 219, the method returns to step 205 in which a set of candidate constellations are created based on C_last and step, CreateSet(C_Last, d). On the other hand, If it is determined in step 217 that d<Min_Step then the value of C_best is saved and the algorithm ends.

FIG. 3 illustrates the convergence of C_last with respect to one of the parameters as the first algorithm of FIGS. 1 and 2 is performed. Initially, the value of the parameter converges to a certain value. When the value of the parameter has converged within a certain resolution, the step size d is reduced and the value of the parameter converges further, until the step size d has reached the minimum step size.

In the example shown in FIG. 3 , for each iteration, three new parameter values are tried, as represented by the vertical columns of circles. The best new parameter for each iteration is indicated in FIG. 3 as a filled circle. The best parameter value in one iteration is used as the new parameter value for the next iteration. Thus, in the example illustrated in FIG. 3 , in which three new parameter values are tried (comprising the current parameter and parameters an amount d above and below the current parameter), the filled circle of one iteration corresponds to the middle of the three circles arranged in a column for the next iteration.

In certain embodiments, Steps 217 and 219 of the algorithm illustrated in FIG. 2 may be omitted so that steps 205, 207, 209, 211, 213 and 215 are performed using the initial step size. In this case, when it is determined in Step 215 that C_best=C_last, the step size is not reduced, but rather the value of C_best is saved and the algorithm ends. By omitting Steps 217 and 219, the algorithm may potentially complete more quickly. However, in this case the output constellation C_best may differ from the true optimum constellation more than the output constellation C_best obtained in the algorithm illustrated in FIG. 2 where the step size d is decreased. This may be seen in FIG. 3 , where it can be seen that the best parameter value in the final iteration lies closer to the optimal value (indicated by the horizontal line) than the best parameter value at the stage of convergence with the initial step size.

The first algorithm described above determines the optimum constellation based on a certain performance measure (e.g. capacity). In the following, various algorithms for determining an optimum constellation for a defined transmission system defined by a set of one or more system parameter values, where the constellation is optimised for a certain desired value of a system parameter (e.g. a certain SNR value or certain Ricean factor). In these embodiments, a system parameter value is set to an initial value (e.g. a relatively high value) and an optimum constellation is generated using an algorithm described above (e.g. the algorithm illustrated in FIG. 2 ), wherein the performance measure is based on a defined transmission system having the set system parameter value. The system parameter value is then reset to a modified value (e.g. by reducing the value by a certain step size) and the algorithm is re-run. The other system parameter values may remain fixed. This process is repeated until the system parameter value reaches a certain desired value.

For example, FIG. 4 illustrates a second algorithm for determining the optimal constellation at a given SNR value S in an AWGN channel. In a first step 401, the algorithm is initialised by setting a SNR parameter to a high value N, where N is large. For example, the initial SNR value may be set to a SNR value above which a non-uniform constellation provides no better performance than an equivalent uniform constellation. This value may be determined, for example, theoretically and/or experimentally. In step 401, the parameter C_last is also initialised to a certain constellation, for example a uniform constellation.

In a next step 403 the first algorithm described above is run using the initialised constellation C_last as the input constellation and using the initialised SNR ratio. By applying the first algorithm, the constellation C_last will converge to an optimal constellation C_best for the specific input value of SNR. The output of step 403 is C_best obtained using the first algorithm. In a next step 405 the SNR value is reduced by a certain amount, for example one unit or step size. In step 405, C_last takes the value of C_best (i.e. so that the value of C_Last in the next iteration is equal to the value of C_Best in the current iteration). In a next step 407 it is determined whether SNR<S. If it is determined in step 407 that SNR≥S then the method returns to step 403, in which the first algorithm is run with the new values of C_last and SNR. On the other hand, if it is determined in step 407 that SNR<S, then the value of C_best is saved and the algorithm ends. By applying the second algorithm, the resulting constellation C_best is the optimal constellation for the desired SNR value S.

FIG. 5 illustrates the convergence of the constellation C_best as the second algorithm of FIG. 4 is performed. Each of the three curves represents the variation in the value of a respective one of the three variable parameters. The solid constant line represents the fixed value of a fixed parameter. As shown in FIG. 5 , at the start of the second algorithm, starting from the right-hand side of FIG. 5 , the SNR value is high and the constellation is a uniform constellation, as defined by the values of the parameters on the right-hand side of FIG. 5 , labelled “Initial condition”. At each iteration, the optimal constellation is obtained for the specific SNR value (indicated in FIG. 5 by the markers). The SNR is then reduced and the optimal constellation is obtained for the new SNR (this process being indicated for one of the parameters by the stepped line in FIG. 5 ). As shown in FIG. 5 , the values of the parameters corresponding to the optimal constellation vary smoothly with varying SNR values. The iterations are repeated until the SNR value reaches the desired SNR value S.

By running the second algorithm illustrated in FIG. 4 , an optimal constellation is derived from each of a set of SNR values. These constellations may be stored in association with the corresponding SNR values, for example in a look-up table.

FIG. 6 illustrates a third algorithm for determining the optimal constellation at a given SNR value S in a Rician fading channel for a desired Rician factor K_rice. The Rician channel is given by:

$\sqrt{\frac{K}{K + 1}} + {\sqrt{\frac{1}{K + 1}}h}$

where K is the Rician factor and h is Rayleigh distributed (centred and normalised). Initially, the third algorithm applies the second algorithm described above to obtain the optimal constellation C_best at a SNR value S for an AWGN channel, C_best(AWGN). In a first step 601, parameter C_last is initialised to C_best(AWGN). In step 601 the Rician factor K is initialised to a high value, which may be determined theoretically and/or experimentally. For example, K may be initialised to a value K_rice+N, where N is large.

In a next step 603, the first algorithm described above is run using the initialised constellation C_last as the input constellation and using the initialised Rician factor K to obtain an optimal constellation C_best. In a next step 605, the Rician factor K is reduced by a certain amount, for example by one unit. In step 605, C_last takes the value of C_best (i.e. so that the value of C_Last in the next iteration is equal to the value of C_Best in the current iteration). In a next step 607 it is determined whether K<K_rice. If it is determined in step 607 that K≥K_rice then the method returns to step 603, in which the first algorithm is run with the new values of C_last and K. On the other hand, if it is determined in step 607 that K<K_rice, then the value of C_best is saved and the algorithm ends. By applying the second algorithm, the resulting constellation C_best is the optimal constellation for the desired Rician factor K_rice.

FIG. 7 illustrates a fourth algorithm for determining the optimal constellation at a given SNR value S in a Rayleigh fading channel. A Rayleigh fading channel is a special case of Rician fading with the Rician factor K=0. Accordingly, the fourth algorithm is the same as the third algorithm described above, except that K_rice is set to zero.

Table 1 below compares the number of capacity calculation function calls for obtaining optimal constellations for various constellation sizes (16-QAM, 64-QAM and 256-QAM) using an exhaustive search, a restricted exhaustive search and an algorithm according to an embodiment of the present invention. The values in Table 1 are based on a step size d of 0.0125 and maximum value for the parameters of 10. Table 1 also indicates the factor difference between using a restricted exhaustive search and a search using an algorithm according to an embodiment of the present invention. As can be seen, the algorithm according to an embodiment of the present invention is significantly more efficient, for example by a factor of 1.15×10¹⁰ for 256-QAM.

TABLE 1 Restricted Algorithm ac- Exhaustive exhaustive cording to the Gain versus search search present invention restricted 16QAM 800 800 21 38 64QAM 5.1e9  1.9e8  1701 117577 256QAM  2.1e21 2.5e15 216513 1.15e10

In Table 1, the difference between exhaustive search and restrictive exhaustive search is the following. It is assumed in the following that there are 4 levels (parameters) between 0 and 10. In the exhaustive search each of the 4 parameters is searched over the whole range [0-10] with a certain granularity. In the case of restricted exhaustive search, the range in which each level will fall is fixed. For example level1 (first parameter) will be in the range [0-2.5] level2 in the range [2.5-5], level3 in the range [5-7.5], level4 in the range [7.5-10]. By doing so, the number of possibilities is reduced.

FIG. 8 illustrates a fifth algorithm for determining an optimal constellation. This algorithm corresponds closely to the algorithm illustrated in FIG. 2 , but is modified to increase overall efficiency. This algorithm comprises an inner loop that comprises steps (steps 803-819) corresponding to steps 203-219 of FIG. 2 . However, step 805 for creating a set of candidate constellations is modified from the corresponding step 205 of FIG. 2 . Specifically, in the algorithm of FIG. 8 , rather than modify each of the b parameters and trying all combinations of the new parameters as in the algorithm of FIG. 2 , only one parameter is modified at a time. For example, within one iteration of the inner loop 803-819, only one parameter (parameter i) is modified to produce a set of candidate constellation. The capacities of these constellations are calculated and the best constellation selected, as in FIG. 2 .

In the algorithm of FIG. 8 , the value of i is varied from 1 to b using an outer loop (steps 821-825). The algorithm of FIG. 8 is initialised in step 801, corresponding to step 201 of FIG. 2 . It can be seen that, by using the algorithm of FIG. 8 , rather than the algorithm of FIG. 2 , the total number of candidate constellation tried (i.e. the total number of capacity calculations) is significantly reduced. However, in simulations, the optimal constellation obtained using the algorithm of FIG. 8 is very close to the optimal constellation obtained using the algorithm of FIG. 2 , which in turn is very close to the true optimal constellation obtained using an exhaustive search. The improvement in computational efficiency using algorithms according to embodiments of the present invention, including the algorithms described above, when compared to an exhaustive search, increases as the constellation order increases.

As with the algorithm illustrated in FIG. 2 , in certain embodiments, Steps 817 and 819 of the algorithm illustrated in FIG. 8 may be omitted.

Using the techniques described above, optimal constellations may be obtained for particular parameters, for example SNR, Rician factor etc. These optimum constellations are obtained independently of any particular system implementation, for example independent of a particular coding scheme. In the following, various embodiments are described for obtaining an optimal constellation for a specific transmission system.

A transmission system may comprise a number of processes which may affect the optimal constellation, for example FEC encoding, bit interleaving, demultiplexing bits to cells, mapping cells to constellations, cell interleaving, constellation rotation, I/Q component interleaving, inter-frame convolution and inter-frame block interleaving, and MISO precoding. A QAM mapper is used in the Bit Interleaved Coded Modulation (BICM) chain to map bits to symbols. The QAM mapper may use a uniform constellation to map bits to cells (for example as done in DVB-T2). However, an increase in capacity may be achieved by using a fixed non-uniform constellation. A non-fixed non-uniform constellation (e.g. QAM) may be used to further increase capacity. The BICM capacity depends on the bit to cell mapping used. Optimisations are desirable in the LDPC design, the QAM mapping and the mapping of bits to cells.

In certain techniques, different constellations are generated using a certain step size. The Bit Error Rate (BER), the Block Error Rate and/or the Packet Error Rate corresponding to the constellations are obtained and the best constellation is selected based on one or more of the aforementioned error rates.

In certain embodiments of the present invention, the process illustrated in FIG. 9 may be carried out to obtain an optimal constellation for a specific system. In a first step 901, a uniform constellation (e.g. uniform QAM) is selected. In a next step 903, BER values for the selected uniform constellation are obtained over a range of SNR values (e.g. using simulation or by obtaining the BER values theoretically or experimentally). These values may be obtained based on a specific system, for example using a particular coding scheme (e.g. LDPC code with a certain parity check matrix) with a certain coding rate and a certain bit interleaver and cell interleaver. FIG. 10 illustrates an exemplary plot for 64-QAM using an LDPC coding rate (CR) of 2/3 from DVB-T2 in an AWGN channel.

In a next step 905, the SNR at which the BER falls below a threshold value (e.g. 0.001) is determined. The threshold value may be selected such that the resulting SNR falls within a “waterfall zone” of the BER curve (i.e. the zone at which the BER falls relatively rapidly with increasing SNR). The determined SNR value may be denoted S and referred to as a “waterfall” SNR.

In a next step, the optimal constellation may be obtained for the SNR value S determined in step 905.

For example, in some embodiments, in step 907 a, the optimal constellation may be selected from the optimal constellations obtained when performing the algorithms described above in relation to FIGS. 1-8 (and stored in a look-up table). Specifically, the optimal constellation previously determined for the SNR value S may be retrieved from the look-up table.

Alternatively, an iterative process may be performed to obtain an optimal (non-uniform) constellation, as follows. Specifically, following step 905, the method moves to step 907 b in which the algorithms described above in relation to FIGS. 1-8 are used to obtain an optimal constellation for the SNR value S (or for a value close to S). Following step 907 b, the method returns to step 903, in which BER values are obtained over a range of SNR. In this iteration, the BER values are obtained for the optimal constellation obtained in step 907 b (rather than for the initial uniform constellation as in the first iteration). In a similar manner as previously described, the SNR value at which the BER falls below a threshold value (using the new set of BER values for the optimal constellation) is determined in step 905, and a new optimal constellation for the newly determined SNR value is obtain in step 907 b. The previously described steps 903, 905, 907 may be repeated a certain number of time (for example a predetermined number of times). Alternatively, the algorithm may terminate when the waterfall SNR stops decreasing between iterations, and instead starts increasing.

FIGS. 11 and 12 illustrate a sixth algorithm for determining an optimal constellation. This algorithm corresponds closely to the algorithm illustrated in FIG. 8 , but is modified to improve performance. In particular, this algorithm introduces the concept of a direction of convergence of a parameter value. For example, within the inner loop of the algorithm, the direction is initialised to 0. When creating a set of candidate constellations, the candidate set depends on the direction parameter. When the best constellation is selected in step 1109, the direction of convergence of the value of parameter i is obtained. For example, if the parameter value is converging upwards then the direction parameter may be set to +1, if the parameter is converging downwards then the direction parameter may be set to −1, and if the parameter does not change then the direction parameter may be set to 0. As illustrated in FIG. 12 , the number of candidate constellations may be reduced when the parameter value is converging upwards or downwards.

In an exemplary embodiment marked “Examplel” of FIG. 12 , in a first iteration all the 3 points are computed, and the upper one is the best one. In a second iteration only the top one is computed, and the upper is the best one. In a third iteration only the one is computed, the middle is the best one. Instead of 9 points, we needed only 5.

Further, in an exemplary embodiment marked “Example 2” of FIG. 12 , in a first iteration all the 9 points are computed, and the bottom one is the best one. In a second iteration only the 3 bottom ones is computed, and the corner is the best one. In a third iteration only the 5 borders are computed, and the middle is the best one. Instead of 9*3=27 points, we needed only 9+3+5=17.

As described above, an optimum constellation may be obtained for a particular system implementation, and/or for certain system parameter values. For example, an optimum constellation (e.g. a constellation that optimises the BICM capacity) may be obtained for a certain propagation channel type (e.g. AWGN, Rayleigh or Typical Urban, TU6, channel) and for a certain SNR. However, in some cases, data may be transmitted in different scenarios. For example, data may be transmitted through different types of channels and may be received with different SNRs. Furthermore, it may be desirable or required that a data transmission system uses the same constellation, regardless of the scenario (e.g. channel type or SNR), for example in order to reduce system complexity. In some cases, a transmission system may use a certain constellation for many different scenarios (e.g. channel types and SNRs).

FIGS. 50-53 illustrate an algorithm for obtaining a constellation that is optimised (e.g. achieves the best capacity) with respect to two or more different scenarios (e.g. different channel types and/or SNR values). The algorithm comprises a number of different parts. First, the waterfall SNR for each channel type (e.g. propagation channel type) is obtained using an algorithm similar to the algorithm illustrated in FIG. 9 . A weighted performance measure function (e.g. weighted capacity) for an input constellation is defined, based on different scenarios (e.g. different channel types and SNR values). Then, an algorithm similar to the algorithms illustrated in FIG. 2, 8 or 11 is applied to determine an optimum constellation, where the performance measure used is based on the weighted performance measure.

FIG. 50 illustrates a process for obtaining the waterfall SNR for each channel type. Each channel type is treated separately in order to obtain its waterfall SNR. In particular, the process illustrated in FIG. 50 is repeated for each channel type to obtain a respective waterfall SNR for that channel type. The process illustrated in FIG. 50 operates in substantially the same manner as the algorithm illustrated in FIG. 9 , and therefore a detailed description will be omitted for conciseness. However, rather than outputting an optimal constellation, as in the algorithm illustrated in FIG. 9 , the process illustrated in FIG. 50 instead outputs the waterfall SNR determined in the final iteration of the process. The process illustrated in FIG. 50 (including BER simulation and capacity optimisation steps) is performed based on a certain channel type, and the output waterfall SNR is determined as the waterfall SNR associated with that channel type.

FIG. 51 schematically illustrates a process for obtaining a weighted performance measure function for an input constellation based on different transmission scenarios. In this example, the weighted performance measure is a weighted capacity, and the different scenarios comprise different channel types and associated waterfall SNR values. As illustrated in FIG. 51 , a candidate constellation is provided as an input. For each channel type and associated waterfall SNR, the BICM capacity for the input constellation based on the channel type and waterfall SNR is obtained. Each obtained BICM capacity is then multiplied by a respective weight and the weighted BICM capacities are added together to obtain an output weighted average BICM capacity. The weights may be selected according to any suitable criteria. For example, a relatively common or important channel type may be associated with a relatively large weight.

FIG. 52 illustrates a process for obtaining an optimum constellation. The process illustrated in FIG. 52 operates in substantially the same manner as the algorithm illustrated in FIG. 2, 8 or 11 , and therefore a detailed description will be omitted for conciseness. However, when determining the performance of a candidate performance in the process illustrated in FIG. 52 , the performance is determined based on the weighted performance measure described above in relation to FIG. 51 .

In the process illustrated in FIG. 52 , in some situation, a certain constellation may achieve the best performance with respect to the weighted performance measure, even though the performance of that constellation with respect to the BICM capacity based on an individual channel and SNR may be relatively low. In certain embodiments, to ensure that a constellation obtained using the algorithm is able to achieve at least a certain level of performance for one or more, or all, transmission scenarios, an additional criterion may be applied when testing each candidate constellation to obtain the constellation C_best. Specifically, any candidate constellation that does not achieve at least a threshold performance with respect to one or more certain individual scenarios, or all scenarios, is ignored and cannot be selected as C_best, even if that constellation achieves the best performance with respect to the weighted performance measure.

In the process illustrated in FIG. 52 , the set of candidate constellations may be derived using any suitable method, for example the method described above in relation to FIG. 9 based on a step size d. FIGS. 53 a and 53 b illustrate alternative schemes for generating a candidate constellation from a previous constellation, C_last, that may be used in certain embodiments. In FIGS. 53 a and 53 b , the open circles represent the constellation points of a previous constellation, C_last. For each constellation point of the previous constellation, a respective set of N modified constellation points are defined, indicated in FIGS. 53 a and 53 b as filled circles. Each set of modified constellation points forms a pattern of constellation points located relatively close to the respective constellation point of the previous constellation.

For example, as illustrated in FIG. 53 a , each set of modified constellation points may form a square or rectangular lattice of N=8 constellation points surrounding a respective constellation point of the previous constellation. The lattice spacing is equal to d. Alternatively, as illustrated in FIG. 53 b , each set of modified constellation points may form a ring of N=8 constellation points surrounding a respective constellation point of the previous constellation. The radius of the ring is equal to d.

A candidate constellation may be obtained by selecting, for each constellation point in the previous constellation, either the constellation point of the previous constellation itself or one of the constellation points of a respective set of modified constellation points.

In the examples described above, a weighted performance measure is defined based on different transmission scenarios. For example, in the case illustrated in FIG. 51 , each transmission scenario comprises a different channel type and an associated waterfall SNR value. Accordingly, a constellation optimised for a range of channel types and associated SNR values may be obtained. In an alternative embodiment, an optimal constellation may be obtained for different transmission scenarios, in the case where each transmission scenario comprises the same channel type, but involves different SNR values (e.g. a set of SNR values S1, S1+d, S1+2d, S1+3d, . . . , S2, where d is a step size). That is, an optimal constellation may be obtained for a fixed channel type that is intended to be used over a range of SNR values. In this case, the algorithm described above in relation to FIGS. 50-53 may be used, except that when determining the weighted performance measure as illustrated in FIG. 51 , instead of determining individual BICM capacities based on respective channel types and associated waterfall SNR values, the individual BICM capacities are determined based on the fixed channel type and respective SNR values S1, S1+d, S1+2d, S1+3d, . . . , S2.

In the algorithms described above, a technique may be applied to reduce the overall complexity. In particular, when a set of candidate constellations is generated and the performance of the candidate constellations are tested, those candidate constellations that have been previously tested (i.e. in one or more previous iteration) are not re-tested. That is, in a current iteration, only those candidate constellations that have not been tested in previous iterations are tested.

For example, as described above, a first set of candidate constellations, A, is generated in an iteration, and the best performing candidate constellation, a (aϵA), is selected from this set. In the next iteration, a second set of candidate constellations, B, is generated based on the previously selected constellation a (aϵB). In this next iteration, the best performing candidate constellation b (bϵB) from set B needs to be determined.

Typically, there will be at least some overlap between the two sets of candidate constellations A and B, such that one or more candidate constellations belong to both sets A and B (i.e. A∩B≠Ø), including constellation a. Since it is known that constellation a has the best performance of all the constellations in set A, then it is also known that constellation a has the best performance of all the constellations belonging to the overlap between sets A and B (i.e. A∩B).

Accordingly, when testing the constellations in set B to determine the best performing constellation, b, it is not necessary to re-test those constellations belonging to the overlap between sets A and B (i.e. it is not necessary to re-test those constellations in the set AnB). Instead, rather than testing all constellations in set B, only those constellations belonging to the smaller set of constellations B*, comprising constellations belonging to set B but excluding any constellations that also belong to set A (i.e. B*=B\A) are tested. Then, the best performing constellation from the set formed from the union of B* and the previous best performing constellation, a (i.e. the best performing constellation from the set B*∪a) is selected as the best performing constellation, b, of set B.

An example of the above principle in relation to the example shown in FIG. 53 a is illustrated in FIG. 54 . In the example of FIG. 54 , at iteration i, it was found that the constellation point indicated as a black circle is the best performing. At iteration i+1, there is no need to test the common subset (including the white circles and the black circle), because it was already tested before and gave an inferior performance. That is, at iteration i+1, only the dark grey circles need to be tested. Accordingly, in the illustrated example, a reduction in complexity of 44% (=4/9) is achieved.

FIG. 55 illustrates an apparatus for implementing an algorithm according to an exemplary embodiment, for example one or more of the embodiments described above. The apparatus is configured for generating a non-uniform constellation. The apparatus comprises a block for performing a first process. The block for performing the first process comprises: a block for obtaining a first constellation defined by one or more parameter values; and a block for generating a second constellation based on the first constellation using a second process. The block for generating the second constellation based on the first constellation using the second process comprises: a block for obtaining a set of candidate constellations, wherein the set of candidate constellations comprises the first constellation and one or more modified constellations, wherein each modified constellation is obtained by modifying the parameter values defining the first constellation; a block for determining the performance of each candidate constellation according to a predetermined performance measure; and a block for selecting the candidate constellation having the best performance as the second constellation. The block for performing the first process further comprises a block for determining a difference between the first constellation and the second constellation; and a block for, if the second constellation differs from the first constellation by more than a threshold amount, causing the block for performing the first process to repeat the first process using the second constellation generated in the current iteration of the first process as the first constellation in the next iteration.

The skilled person will appreciate that the functions of any two or more blocks illustrated in FIG. 55 may be performed by a single block, and that the functions of any block illustrated in FIG. 55 may be performed by two or more blocks. A block may be implemented in any suitable form, for example hardware, software, firmware, or any suitable combination of hardware, software and firmware.

A constellation obtained by a method according to exemplary embodiments of the present invention may be used in a digital broadcasting system to transmit data from a transmitter side to a receiver side. In certain exemplary embodiments, the system comprises a transmitter arranged to obtain data (e.g. a data stream), perform any required encoding and/or other processing of the data, modulate a signal using the data according to a modulation scheme corresponding to the constellation, and transmit the modulated signal. The system further comprises a receiver configured to receive a modulated signal, demodulate the signal according to a demodulation scheme corresponding to the constellation (or a similar or corresponding constellation), and perform any necessary decoding and/or other processing to recover the original data. Certain embodiments may comprise a transmitter side apparatus only, a receiver side apparatus only, or a system comprising both a transmitter side apparatus and a receiver side apparatus.

FIG. 13 a illustrates a uniform constellation (64-QAM), FIG. 13 b illustrates a non-uniform constellation (64-QAM) characterised by 3 parameters, and FIG. 13 c illustrates a non-uniform constellation (64-QAM) characterised by 16 parameters. As illustrated in FIG. 13 c , in some embodiments, the constellation points are not constrained to lie on a square lattice.

The number of parameters depends on the number of constraints, as can be seen by comparing the non-uniform constellations illustrated in FIGS. 13 b and 13 c.

The Annexes to this description include various tables comprising data obtained using certain embodiments of the present invention. Annex 1a covers square constellations and Annex 2a covers non-square constellations. Each Annex covers four constellation sizes, 16, 64, 256 and 1024.

The first column in each table is the optimal SNR for which the values are optimal. In the case of the tables indicated NU-QAM (square), the tables contain the optimal normalized levels/parameters (L1, L2, L3). There are different numbers of levels for each order of constellation.

In the case of the tables indicated NUC (non-square), the tables contain the raw point values (a1, a2, a3 . . . ) in the first quadrant (the other 3 quadrants can be derived by symmetry). The values in these tables are complex (A+Bi) since the constellation is two dimensional.

The Annexes to the Figures illustrate results obtained from various embodiments of the present invention.

Various results obtained by applying the algorithms described above will now be described. For example, results obtained for NU-QAM constellations of different sizes (specifically NU 16-QAM, NU 64-QAM, NU 256-QAM and NU 1024-QAM), and using different code rates (specifically 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15), are described. These results show that non-uniform constellations provide a significant gain over corresponding uniform constellations. The values of the set of constellation points for various exemplary constellations obtained by applying the algorithms described above are also described.

FIG. 14 a illustrates a set of BER curves obtained using a NU 16-QAM constellation, NUC, using respective code rates, CRs (specifically the code rates mentioned above), and a set of BER curves obtained using a corresponding (uniform) 16-QAM constellation using the same code rates. The solid curves are the BER curves for the NU 16-QAM constellation and the dotted curves are the BER curves for the corresponding uniform 16-QAM constellation. FIG. 14 a also indicates the SNR gain (at the waterfall, WF, zone) obtained using the NU 16-QAM constellation with respect to the corresponding 16-QAM constellation for each code rate.

FIG. 14 b is a table indicating, for each code rate, the SNR values at the waterfall zone (e.g. the waterfall SNR values) for the uniform and non-uniform constellations used to obtain the BER curves illustrated in FIG. 14 a , and the resulting SNR gain (obtained as a difference between the SNR values). As indicated, a SNR gain of up to 0.3 dB (e.g. for code rates of 8/15 and 9/15) may be obtained.

FIGS. 15 a and 15 b illustrate a set of BER curves and SNR gain values, similar to FIGS. 14 a and 14 b , using a NU 64-QAM constellation and a corresponding (uniform) 64-QAM constellation, and using the code rates mentioned above.

FIGS. 16 a and 16 b illustrate a set of BER curves and SNR gain values, similar to FIGS. 14 a and 14 b , using a NU 256-QAM constellation and a corresponding (uniform) 256-QAM constellation, and using the code rates mentioned above.

FIGS. 17 a and 17 b illustrate a set of BER curves and SNR gain values, similar to FIGS. 14 a and 14 b , using a NU 1024-QAM constellation and a corresponding (uniform) 1024-QAM constellation, and using the code rates mentioned above.

FIG. 18 illustrates an exemplary NU 16-QAM constellation obtained by applying the algorithms described above using a code rate of 6/15. The positions of the individual constellation points are indicated in the constellation diagram on the right-hand side of FIG. 18 . The values of the constellation points of the top-right quadrant are indicated on the left-hand side of FIG. 18 . The values of the constellation points of the other quadrants may be deduced by symmetry. In particular, for each constellation point A in the top-right quadrant, there is a corresponding constellation point in each of the three other quadrants (bottom-right, bottom-left and top-left), given, respectively, by A*, −A* and −A, where * denotes complex conjugation.

FIGS. 19-25 illustrate exemplary NU 16-QAM constellations obtained by applying the algorithms described above using code rates of 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively. As with FIG. 18 , the complete set of constellation points are indicated in the constellation diagram on the right-hand side of the Figures, and the values of the constellation points of the top-right quadrant are indicated on the left-hand side of the Figures. As with FIG. 18 , the values of the constellation points in the other three quadrants may be similarly deduced by symmetry.

In alternative embodiments, the constellations illustrated in FIGS. 18-25 may comprise constellation points given in Tables 2-6 in Annex 7.

FIGS. 26-33 illustrate exemplary NU 64-QAM constellations obtained by applying the algorithms described above using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively. As with FIG. 18 , the complete set of constellation points are indicated in the constellation diagram on the right-hand side of the Figures, and the values of the constellation points of the top-right quadrant are indicated on the left-hand side of the Figures. As with FIG. 18 , the values of the constellation points in the other three quadrants may be similarly deduced by symmetry.

In alternative embodiments, the constellations illustrated in FIGS. 26-33 may comprise constellation points given in Tables 7-11 in Annex 7.

FIGS. 34-41 illustrate exemplary NU 256-QAM constellations obtained by applying the algorithms described above using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively. As with FIG. 18 , the complete set of constellation points are indicated in the constellation diagram on the right-hand side of the Figures, and the values of the constellation points of the top-right quadrant are indicated on the left-hand side of the Figures. As with FIG. 18 , the values of the constellation points in the other three quadrants may be similarly deduced by symmetry.

In alternative embodiments, the constellations illustrated in FIGS. 34-41 may comprise constellation points given in Tables 12-16 in Annex 7.

FIGS. 42-49 illustrate exemplary NU 1024-QAM constellations obtained by applying the algorithms described above using code rates of 6/15, 7/15, 8/15, 9/15, 10/15, 11/15, 12/15 and 13/15, respectively. As with FIG. 18 , the complete set of constellation points are indicated in the constellation diagram on the right-hand side of the Figures. The values of the constellation points of the top-right quadrant are indicated on the left-hand side of the Figures. In FIGS. 42-49 , in contrast to FIGS. 18-41 , rather than giving the values of the constellation points explicitly, a set of levels of the constellation point are given instead, from which the actual values of the constellation points may be deduced. Specifically, given a set of m levels A=[A₁, A₂, . . . , A_(m)], a set of m² constellation point values C+Dj may be deduced, wherein C and D each comprise a value selected from the set, A, of levels. The complete set of constellation points in the top-right quadrant is obtained by considering all possible pairs of values C and D. As with FIG. 18 , the values of the constellation points in the other three quadrants may be similarly deduced by symmetry.

In alternative embodiments, the constellations illustrated in FIGS. 42-49 may comprise constellation points given in Tables 17-21 in Annex 7.

The skilled person will appreciate that, in certain embodiments, the constellations indicated in FIGS. 18-49 may be rotated and/or scaled (where the scaling factor applied to the real and imaginary axis may be the same or different) and/or have any other transformation applied thereto. The constellations indicated in FIGS. 18-49 may be regarded as constellations, which indicate the relative positions of the constellation points, and from which other constellations may be derived through rotation and/or scaling and/or any other suitable transformation.

Tables 2-6 in Annex 7 indicate the values of the constellation points of exemplary normalised NU 16-QAM constellations obtained by applying the algorithms described above using coding rates of 5/15, 7/15, 9/15, 11/15, and 13/15, and fora single SNR value.

Tables 7-11 in Annex 7 indicate the values of the constellation points of exemplary normalised NU 64-QAM constellations obtained by applying the algorithms described above using coding rates of 5/15, 7/15, 9/15, 11/15, and 13/15, and for one SNR, in a similar manner to Tables 2-6.

Tables 12-16 in Annex 7 indicate the values of the constellation points of exemplary normalised NU 256-QAM constellations obtained by applying the algorithms described above using coding rates of 5/15, 7/15, 9/15, 11/15, and 13/15, and for one SNR, in a similar manner to Tables 2-11.

Tables 17-21 in Annex 7 indicate the values of the constellation points of exemplary normalised NU 1024-QAM constellations obtained by applying the algorithms described above using coding rates of 5/15, 7/15, 9/15, 11/15 and 13/15, and for one SNR. In tables 17-21, in contrast to Tables 2-16, rather than giving the values of the constellation points explicitly, a set of levels of the constellation point are given instead, from which the actual values of the constellation points may be deduced, as described above.

The skilled person will appreciate that the present invention is not limited to the specific constellations indicated in FIGS. 18-49 and Tables 2-22. For example, in certain embodiments, constellations of different orders and/or constellation comprising different arrangements or relative positions of constellation points may be used. In some embodiments, a constellation similar to one of the constellations indicated in FIGS. 18-49 and/or Tables 2-22 may be used. For example, a constellation having constellation point values differing by no more than a certain threshold amount (or tolerance or error) from the values indicated in FIGS. 18-49 and/or Tables 2-22 may be used. The threshold amount may be expressed, for example, as a relative amount (e.g. 0.1%, 1%, 5% etc.), as an absolute amount (e.g. 0.001, 0.01, 0.1 etc.), or in any other suitable way. In certain embodiments, a constellation point may be rounded using any suitable rounding operator. For example, a constellation point given by A1=0.775121+0.254211 j may be rounded to A2=0.775+0.254j. The non-rounded or the rounded value may be stored in a table.

In certain exemplary embodiments, the transmitter and the receiver may use constellations that are not exactly the same. For example, the transmitter and the receiver may user respective constellations in which one or more constellation points differ by no more than a certain threshold amount. For example, the receiver may use a constellation comprising one or more rounded constellation points (e.g. A2) to de-map the constellation value, while the transmitter may use a constellation comprising the non-rounded constellation points (e.g. A1).

Annexes 1b and 2b include alternative data to the data included in Annexes 1a and 2a. Annex 1b covers square constellations and Annex 2b covers non-square constellations. Each Annex covers four constellation sizes, 16, 64, 256 and 1024. The tables in Annex 2b contain the 2D constellation points for a range of SNR values. Different labelling (i.e. mappings between bits and constellation points) can be used. For each constellation, there exist (log 2(points)−2)!*2{circumflex over ( )}(log 2(points)−2) possible labellings that lead to an optimal capacity value. The Annex 2b tables only show one possible, exemplary, labelling. However, the skilled person can reorder the points of a given constellation/SNR, obtaining a different labelling but maintaining the same performance.

The Annexes to this description include various LDPC parity bit accumulator tables that may be used in certain embodiments of the present invention. Specifically, Annex 3 contains parity bit accumulator tables used to generate the Parity Check Matrix for each coding rate. A table is provided for each LDPC length, specifically 64 k or 16 k. For example, tables in Annex 3 were used in obtaining the results illustrated in FIGS. 14-49 . When applying the algorithms described above, the waterfall zone and waterfall SNR depends on the LDPC matrix used. In the tables of Annex 3, each row represents one of the Quasi-Cyclic Low-Density Parity-Check, QC LDPC, columns generators.

Annex 4 indicates the values of the constellation points of further exemplary 16-QAM, 64-QAM, 256-QAM and 1024-QAM constellations obtained by applying an algorithm according to an exemplary embodiment of the present invention, for example one or more of the algorithms described above, using coding rates of 7/15, 9/15, 11/15 and 13/15. The 16-QAM, 64-QAM and 256-QAM constellations are NUC constellations, where constellation points are given for the first quadrant only. The constellation points for the other three quadrants may be deduced by symmetry, as described above in relation to FIGS. 18-41 . The 1024-QAM constellation is an NU-QAM (rectangular) constellation, where the constellation points are defined by a set of levels, as described above in relation to FIGS. 42-49 .

Annex 5 indicates the values of the constellation points of further exemplary 16-QAM, 64-QAM and 256-QAM constellations obtained by applying an algorithm according to an exemplary embodiment of the present invention, for example one or more of the algorithms described above. In certain exemplary embodiments, these constellations may be used for coding rates of 3/10 or below.

Annex 6 indicates the values of the constellation points of further exemplary 16-QAM, 64-QAM, 256-QAM and 1024-QAM constellations obtained by applying an algorithm according to an exemplary embodiment of the present invention, for example one or more of the algorithms described above, using coding rates of 5/15 (for 64-QAM and 256-QAM only), 7/15, 9/15, 11/15 and 13/15. The 16-QAM, 64-QAM, 256-QAM constellations, and the second 1024-QAM constellation, are NUC constellations, where constellation points are given for the first quadrant only. The constellation points for the other three quadrants may be deduced by symmetry, as described above in relation to FIGS. 18-41 . The first 1024-QAM constellation is an NU-QAM (rectangular) constellation, where the constellation points are defined by a set of levels, as described above in relation to FIGS. 42-49 .

In cases where the constellations are indicated in terms of a set of levels, the actual constellation points may be constructed from the indicated levels. For example, Annex 6 gives a “1K-QAM (1 dimension)” constellation in terms of a set of levels. Table 22 in Annex 8 gives the values of the constellation points in the first quadrant for the “1K-QAM (1 dimension)” constellation, which may be constructed from the set of levels given in Annex 6. The constellation points for the other three quadrants may be deduced by symmetry. One example of the construction of a set of constellation points from a set of levels is given in Annex 9.

The constellation points coordinates included in the present disclosure may be rounded off to the nearest whole number at any decimal point. For example, a constellation point coordinate may be rounded off in the fifth decimal place after the decimal point.

It will be appreciated that embodiments of the present invention can be realized in the form of hardware, software or a combination of hardware and software. Any such software may be stored in the form of volatile or non-volatile storage, for example a storage device like a ROM, whether erasable or rewritable or not, or in the form of memory such as, for example, RAM, memory chips, device or integrated circuits or on an optically or magnetically readable medium such as, for example, a CD, DVD, magnetic disk or magnetic tape or the like.

It will be appreciated that the storage devices and storage media are embodiments of machine-readable storage that are suitable for storing a program or programs comprising instructions that, when executed, implement certain embodiments of the present invention. Accordingly, certain embodiments provide a program comprising code for implementing a method, apparatus or system as claimed in any one of the claims of this specification, and a machine-readable storage storing such a program. Still further, such programs may be conveyed electronically via any medium, for example a communication signal carried over a wired or wireless connection, and embodiments suitably encompass the same.

While the invention has been shown and described with reference to certain embodiments thereof, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the scope of the invention, as defined by the appended claims.

Annex to the Description—Annex 1a

16NUQAM SNR L1 L2 4 1 2.839885 4.1 1 2.893707 4.2 1 2.947556 4.3 1 2.999997 4.4 1 3.051775 4.5 1 3.102185 4.6 1 3.15186 4.7 1 3.199446 4.8 1 3.246374 4.9 1 3.291983 5 1 3.336053 5.1 1 3.378123 5.2 1 3.418789 5.3 1 3.457634 5.4 1 3.494374 5.5 1 3.529293 5.6 1 3.562092 5.7 1 3.592767 5.8 1 3.62144 5.9 1 3.647331 6 1 3.671139 6.1 1 3.692771 6.2 1 3.711765 6.3 1 3.727773 6.4 1 3.741562 6.5 1 3.753443 6.6 1 3.762235 6.7 1 3.768439 6.8 1 3.77272 6.9 1 3.774647 7 1 3.773951 7.1 1 3.77135 7.2 1 3.767057 7.3 1 3.760857 7.4 1 3.752584 7.5 1 3.743116 7.6 1 3.732592 7.7 1 3.720692 7.8 1 3.707042 7.9 1 3.69362 8 1 3.678595 8.1 1 3.663756 8.2 1 3.647761 8.3 1 3.631964 8.4 1 3.615282 8.5 1 3.598823 8.6 1 3.582573 8.7 1 3.565892 8.8 1 3.55006 8.9 1 3.5338 9 1 3.517746 9.1 1 3.502524 9.2 1 3.487487 9.3 1 3.472631 9.4 1 3.45797 9.5 1 3.443485 9.6 1 3.430061 9.7 1 3.41677 9.8 1 3.403622 9.9 1 3.391227 10 1 3.378963 10.1 1 3.367421 10.2 1 3.355998 10.3 1 3.345294 10.4 1 3.334305 10.5 1 3.324627 10.6 1 3.314486 10.7 1 3.304843 10.8 1 3.295784 10.9 1 3.287364 11 1 3.278865 11.1 1 3.270628 11.2 1 3.262403 11.3 1 3.254759 11.4 1 3.247699 11.5 1 3.240646 11.6 1 3.233605 11.7 1 3.227272 11.8 1 3.220939 11.9 1 3.214612 12 1 3.208285 12.1 1 3.202533 12.2 1 3.197353 12.3 1 3.191598 12.4 1 3.186426 12.5 1 3.181815 12.6 1 3.176644 12.7 1 3.172139 12.8 1 3.167631 12.9 1 3.163111 13 1 3.158592 13.1 1 3.154649 13.2 1 3.150688 13.3 1 3.146739 13.4 1 3.142772 13.5 1 3.138807 13.6 1 3.135416 13.7 1 3.132018 13.8 1 3.128616 13.9 1 3.125221 14 1 3.122455 14.1 1 3.119049 14.2 1 3.116279 14.3 1 3.113504 14.4 1 3.110719 14.5 1 3.107929 14.6 1 3.104898 14.7 1 3.102507 14.8 1 3.10012 14.9 1 3.097736 15 1 3.095345

64NUQAM SNR L1 L2 L3 L4 4 1 1 2.839885 2.839885 5 1 1 3.333799 3.333799 6 1 1 3.673272 3.673272 7 1 1 3.772273 3.786417 8 1 1.191385 3.567779 4.620412 9 1 1.420475 3.669097 5.36928 10 1 1.712789 3.997906 6.241096 11 1 2.079134 4.429257 7.139089 12 1 2.511934 4.87267 7.976119 13 1 2.764698 5.145644 8.394934 14 1 3.017794 5.480702 8.804139 15 1 3.047482 5.480719 8.655799 16 1 3.106828 5.510392 8.537099 17 1 3.046101 5.351575 8.118142 18 1 3.016799 5.229677 7.806698 19 1 3.072838 5.257719 7.750716 20 1 3.072822 5.257695 7.666657 21 1 3.016336 5.114428 7.403244 22 1 3.016351 5.114446 7.348773 23 1 3.016337 5.087177 7.267007 24 1 3.016341 5.087182 7.239767

256 NUQAM SNR L1 L2 L3 L4 L5 L6 L7 L8 7 1 1 1 1 3.759495 3.759495 3.759495 3.759495 8 1 0.865981 0.752579 0.865981 3 4.422682 3 2.69072 9 1 0.823528 0.686273 0.823528 2.823528 4.401956 2.823528 2.558823 10 1 1.12848 1.578161 1.385441 3.91221 3.869383 4.661674 6.803007 11 1 1.023423 1.843092 1.772836 3.997663 4.231856 5.730687 7.651065 12 1 0.974163 2.188638 2.188638 4.281664 4.669262 6.555574 8.622762 13 1 0.971184 2.556198 2.613837 4.659952 5.2075 7.39771 9.818462 14 1 0.969417 2.773689 2.865438 4.853198 5.495397 7.850127 10.54125 15 1 1 2.954397 3.117258 5.169379 5.885988 8.361555 11.26058 16 1 1 2.954403 3.182412 5.169383 5.98372 8.361572 11.22802 17 1 1.13937 3.125436 3.508715 5.49478 6.574918 8.944254 11.90593 18 1 1.299621 3.209728 3.883887 5.793994 7.292119 9.614208 12.61046 19 1 2.014496 3.995172 5.444447 7.521745 9.695663 12.4493 16.02418 20 1 2.63841 4.672306 6.593206 8.909592 11.45195 14.5593 18.45759 21 1 2.916187 4.952133 7.107824 9.503049 12.25757 15.43123 19.26359 22 1 2.916143 4.952058 7.10773 9.502917 12.13763 15.13162 18.66453 23 1 3.035904 5.071823 7.227493 9.562818 12.13764 14.952 18.24539 24 1 3.035928 5.131725 7.347292 9.682613 12.1377 14.83232 17.88619 25 1 3.095825 5.25153 7.407236 9.682704 12.1378 14.77255 17.7067 26 1 3.095796 5.251469 7.407143 9.682587 12.07779 14.59274 17.34722 27 1 3.095806 5.251487 7.467059 9.68263 12.01797 14.47305 17.10778

1024 NUQAM SNR L1 L2 L3 L4 L5 L6 L7 L8 L9 11 1 1 1.027778 1.027778 1.833333 1.833333 1.777778 1.777778 3.972222 12 1 1 1 1 2.25 2.25 2.25 2.25 4.375 13 1 1 0.966667 0.966667 2.5 2.5 2.533333 2.533333 4.6 14 1 1 0.964286 0.964286 2.714286 2.714286 2.785714 2.785714 4.821429 15 1 1 1 1 2.923077 2.923077 3.038462 3.038462 5.115385 16 1 1 1 1 2.884615 2.923077 3.076923 3.076923 5.115385 17 1 1 1.04 1.04 3 3.04 3.32 3.28 5.32 18 1 1 1.217391 1.217391 3.130435 3.130435 3.695652 3.695652 5.608696 19 1 1 1.55 1.55 3.5 3.5 4.5 4.5 6.45 20 1 1 2.466667 2.466667 4.533333 4.533333 6.266667 6.266667 8.533333 21 1 1 2.785714 2.785714 4.857143 4.857143 6.857143 6.928571 9.142857 22 1 1 3.076923 3.076923 5.230769 5.230769 7.384615 7.461538 9.692308 23 1 1 3.076923 3.076923 5.153846 5.230769 7.307692 7.538462 9.538462 24 1 1 3 3.076923 5 5.230769 7.076923 7.692308 9.384615 25 1 1.166667 3.083333 3.333333 5.166667 5.75 7.416667 8.5 10.08333 26 1 2.375 4.25 5.75 7.75 9.375 11.375 13.375 15.5 27 1 2.857143 4.857143 6.857143 8.857143 10.85714 13 15.28571 17.71429 28 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 29 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 30 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 31 1 3 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 SNR L10 L11 L12 L13 L14 L15 L16 11 4.111111 4.277778 4.138889 5.916667 5.805556 6.5 8.638889 12 4.5 4.75 4.59375 6.875 6.78125 7.4375 9.8125 13 4.633333 5.033333 4.966667 7.1 7.333333 8.466667 10.7 14 4.821429 5.357143 5.357143 7.464286 7.857143 9.464286 11.71429 15 5.076923 5.692308 5.769231 7.923077 8.423077 10.34615 12.80769 16 5.038462 5.692308 5.846154 7.884615 8.423077 10.5 13.03846 17 5.24 6.04 6.28 8.24 8.84 11.04 13.68 18 5.608696 6.826087 7.086957 8.956522 9.695652 11.95652 14.69565 19 6.45 8.1 8.4 10.35 11.35 13.75 16.75 20 8.6 10.8 11.33333 13.73333 15.26667 18.2 21.93333 21 9.357143 11.57143 12.35714 14.64286 16.64286 19.5 23.21429 22 10.07692 12.23077 13.38462 15.69231 18.07692 21 24.69231 23 10.23077 12.15385 13.69231 15.76923 18.15385 20.92308 24.38462 24 10.53846 12.23077 13.92308 15.92308 18.23077 20.92308 24.15385 25 11.58333 13.33333 15.25 17.33333 19.75 22.41667 25.58333 26 17.75 20.25 23 26.125 29.5 33.25 37.625 27 20.42857 23.28571 26.42857 29.71429 33.42857 37.42857 42 28 20.71429 23.42857 26.42857 29.71429 33.14286 36.85714 41.14286 29 20.71429 23.42857 26.42857 29.57143 32.85714 36.28571 40.14286 30 20.71429 23.42857 26.14286 29 32 35.14286 38.71429 31 20.71429 23.42857 26.14286 28.85714 31.71429 34.71429 38

Annex to the Description—Annex 2a

16 NUC Normalized values SNR a1 a2 a3 a4 4 0.531 + 1.193i 0.284 + 0.462i 1.193 + 0.530i 0.462 + 0.284i 4.1 0.529 + 1.195i 0.282 + 0.460i 1.195 + 0.529i 0.460 + 0.282i 4.2 0.528 + 1.197i 0.280 + 0.458i 1.197 + 0.527i 0.458 + 0.280i 4.3 0.526 + 1.199i 0.278 + 0.457i 1.199 + 0.526i 0.457 + 0.278i 4.4 0.525 + 1.201i 0.276 + 0.455i 1.201 + 0.524i 0.455 + 0.276i 4.5 0.523 + 1.202i 0.275 + 0.454i 1.202 + 0.523i 0.454 + 0.275i 4.6 0.522 + 1.203i 0.274 + 0.453i 1.203 + 0.522i 0.454 + 0.274i 4.7 0.521 + 1.204i 0.272 + 0.453i 1.204 + 0.520i 0.453 + 0.272i 4.8 0.519 + 1.205i 0.271 + 0.452i 1.205 + 0.519i 0.452 + 0.271i 4.9 0.518 + 1.206i 0.270 + 0.452i 1.206 + 0.518i 0.452 + 0.270i 5 0.517 + 1.207i 0.269 + 0.451i 1.207 + 0.516i 0.451 + 0.269i 5.1 0.516 + 1.208i 0.269 + 0.451i 1.208 + 0.515i 0.451 + 0.269i 5.2 0.514 + 1.208i 0.268 + 0.451i 1.208 + 0.514i 0.452 + 0.268i 5.3 0.513 + 1.209i 0.267 + 0.452i 1.209 + 0.513i 0.452 + 0.267i 5.4 0.512 + 1.209i 0.267 + 0.452i 1.209 + 0.512i 0.452 + 0.267i 5.5 0.511 + 1.210i 0.266 + 0.452i 1.210 + 0.511i 0.452 + 0.266i 5.6 0.510 + 1.210i 0.266 + 0.453i 1.210 + 0.510i 0.453 + 0.266i 5.7 0.509 + 1.210i 0.265 + 0.454i 1.210 + 0.509i 0.454 + 0.265i 5.8 0.509 + 1.210i 0.265 + 0.455i 1.210 + 0.508i 0.455 + 0.265i 5.9 0.508 + 1.210i 0.265 + 0.456i 1.210 + 0.507i 0.455 + 0.265i 6 0.507 + 1.211i 0.264 + 0.457i 1.211 + 0.506i 0.457 + 0.264i 6.1 0.506 + 1.211i 0.264 + 0.458i 1.211 + 0.505i 0.458 + 0.264i 6.2 0.505 + 1.211i 0.263 + 0.459i 1.211 + 0.505i 0.459 + 0.263i 6.3 0.504 + 1.210i 0.263 + 0.460i 1.210 + 0.504i 0.460 + 0.264i 6.4 0.503 + 1.210i 0.263 + 0.461i 1.211 + 0.502i 0.461 + 0.263i 6.5 0.503 + 1.210i 0.262 + 0.463i 1.210 + 0.501i 0.463 + 0.262i 6.6 0.502 + 1.210i 0.263 + 0.465i 1.210 + 0.501i 0.464 + 0.263i 6.7 0.501 + 1.210i 0.262 + 0.466i 1.210 + 0.500i 0.466 + 0.262i 6.8 0.500 + 1.210i 0.262 + 0.468i 1.210 + 0.499i 0.467 + 0.262i 6.9 0.499 + 1.209i 0.261 + 0.469i 1.209 + 0.498i 0.469 + 0.261i 7 0.498 + 1.209i 0.261 + 0.472i 1.209 + 0.498i 0.471 + 0.261i 7.1 0.498 + 1.209i 0.261 + 0.474i 1.209 + 0.497i 0.473 + 0.261i 7.2 0.497 + 1.208i 0.259 + 0.475i 1.208 + 0.497i 0.475 + 0.259i 7.3 0.496 + 1.208i 0.259 + 0.478i 1.208 + 0.496i 0.477 + 0.259i 7.4 0.496 + 1.207i 0.259 + 0.480i 1.207 + 0.495i 0.479 + 0.259i 7.5 0.495 + 1.207i 0.258 + 0.481i 1.207 + 0.495i 0.482 + 0.258i 7.6 0.495 + 1.206i 0.257 + 0.484i 1.206 + 0.494i 0.483 + 0.257i 7.7 0.494 + 1.206i 0.256 + 0.486i 1.206 + 0.494i 0.486 + 0.256i 7.8 0.494 + 1.205i 0.255 + 0.489i 1.205 + 0.493i 0.488 + 0.255i 7.9 0.493 + 1.205i 0.254 + 0.492i 1.205 + 0.493i 0.490 + 0.254i 8 0.493 + 1.204i 0.253 + 0.494i 1.204 + 0.492i 0.493 + 0.253i 8.1 0.492 + 1.203i 0.252 + 0.497i 1.203 + 0.492i 0.495 + 0.252i 8.2 0.492 + 1.203i 0.251 + 0.499i 1.203 + 0.491i 0.497 + 0.251i 8.3 0.492 + 1.202i 0.250 + 0.502i 1.202 + 0.491i 0.500 + 0.250i 8.4 0.492 + 1.202i 0.249 + 0.505i 1.201 + 0.490i 0.501 + 0.249i 8.5 0.491 + 1.201i 0.248 + 0.506i 1.201 + 0.491i 0.505 + 0.248i 8.6 0.491 + 1.200i 0.247 + 0.509i 1.200 + 0.490i 0.508 + 0.247i 8.7 0.491 + 1.200i 0.246 + 0.512i 1.199 + 0.490i 0.509 + 0.245i 8.8 0.490 + 1.199i 0.244 + 0.514i 1.198 + 0.490i 0.513 + 0.244i 8.9 0.492 + 1.198i 0.244 + 0.519i 1.197 + 0.489i 0.513 + 0.242i 9 0.493 + 1.198i 0.243 + 0.524i 1.196 + 0.487i 0.512 + 0.241i 9.1 0.494 + 1.198i 0.243 + 0.530i 1.194 + 0.486i 0.511 + 0.239i 9.2 0.519 + 1.206i 0.252 + 0.583i 1.180 + 0.463i 0.464 + 0.228i 9.3 0.526 + 1.207i 0.253 + 0.597i 1.174 + 0.457i 0.455 + 0.226i 9.4 0.531 + 1.207i 0.254 + 0.608i 1.170 + 0.453i 0.449 + 0.223i 9.5 0.537 + 1.208i 0.254 + 0.618i 1.166 + 0.450i 0.442 + 0.222i 9.6 0.542 + 1.209i 0.255 + 0.626i 1.162 + 0.446i 0.437 + 0.220i 9.7 0.547 + 1.209i 0.256 + 0.635i 1.157 + 0.443i 0.432 + 0.219i 9.8 0.553 + 1.209i 0.256 + 0.643i 1.153 + 0.439i 0.428 + 0.218i 9.9 0.558 + 1.210i 0.257 + 0.650i 1.149 + 0.437i 0.424 + 0.218i 10 0.565 + 1.209i 0.257 + 0.657i 1.144 + 0.433i 0.419 + 0.218i 10.1 0.573 + 1.209i 0.257 + 0.665i 1.139 + 0.430i 0.415 + 0.217i 10.2 0.585 + 1.206i 0.258 + 0.674i 1.134 + 0.425i 0.410 + 0.218i 10.3 0.604 + 1.201i 0.257 + 0.686i 1.127 + 0.419i 0.402 + 0.218i 10.4 0.948 + 0.968i 0.283 + 0.948i 0.968 + 0.291i 0.291 + 0.283i 10.5 0.949 + 0.966i 0.285 + 0.949i 0.965 + 0.291i 0.291 + 0.285i 10.6 0.952 + 0.963i 0.287 + 0.952i 0.963 + 0.291i 0.291 + 0.287i 10.7 0.952 + 0.963i 0.287 + 0.952i 0.962 + 0.292i 0.292 + 0.287i 10.8 0.953 + 0.962i 0.288 + 0.953i 0.961 + 0.292i 0.292 + 0.288i 10.9 0.954 + 0.959i 0.290 + 0.954i 0.959 + 0.292i 0.292 + 0.290i 11 0.955 + 0.958i 0.291 + 0.955i 0.958 + 0.292i 0.293 + 0.291i 11.1 0.955 + 0.958i 0.292 + 0.955i 0.958 + 0.293i 0.293 + 0.292i 11.2 0.955 + 0.957i 0.293 + 0.955i 0.957 + 0.293i 0.293 + 0.293i 11.3 0.955 + 0.957i 0.294 + 0.955i 0.956 + 0.294i 0.294 + 0.294i 11.4 0.955 + 0.957i 0.294 + 0.955i 0.956 + 0.294i 0.294 + 0.294i 11.5 0.955 + 0.957i 0.295 + 0.955i 0.956 + 0.295i 0.295 + 0.295i 11.6 0.955 + 0.956i 0.296 + 0.955i 0.955 + 0.296i 0.296 + 0.296i 11.7 0.954 + 0.956i 0.296 + 0.954i 0.956 + 0.296i 0.296 + 0.296i 11.8 0.955 + 0.955i 0.297 + 0.955i 0.955 + 0.297i 0.297 + 0.297i 11.9 0.955 + 0.956i 0.297 + 0.955i 0.955 + 0.297i 0.297 + 0.297i 12 0.954 + 0.955i 0.297 + 0.955i 0.955 + 0.298i 0.298 + 0.298i 12.1 0.954 + 0.955i 0.298 + 0.954i 0.954 + 0.299i 0.298 + 0.298i 12.2 0.954 + 0.955i 0.298 + 0.954i 0.955 + 0.299i 0.299 + 0.298i 12.3 0.954 + 0.955i 0.299 + 0.954i 0.954 + 0.299i 0.299 + 0.299i 12.4 0.954 + 0.955i 0.299 + 0.954i 0.954 + 0.300i 0.299 + 0.299i 12.5 0.954 + 0.954i 0.300 + 0.954i 0.954 + 0.300i 0.300 + 0.300i 12.6 0.954 + 0.955i 0.300 + 0.954i 0.954 + 0.301i 0.300 + 0.300i 12.7 0.954 + 0.954i 0.301 + 0.954i 0.954 + 0.301i 0.301 + 0.301i 12.8 0.953 + 0.954i 0.301 + 0.954i 0.954 + 0.302i 0.301 + 0.301i 12.9 0.953 + 0.954i 0.301 + 0.953i 0.953 + 0.302i 0.301 + 0.301i 13 0.953 + 0.954i 0.302 + 0.953i 0.953 + 0.302i 0.302 + 0.302i 13.1 0.953 + 0.954i 0.302 + 0.953i 0.953 + 0.303i 0.302 + 0.302i 13.2 0.953 + 0.954i 0.303 + 0.953i 0.953 + 0.303i 0.303 + 0.303i 13.3 0.953 + 0.953i 0.303 + 0.953i 0.953 + 0.304i 0.303 + 0.303i 13.4 0.953 + 0.953i 0.303 + 0.953i 0.953 + 0.304i 0.303 + 0.303i 13.5 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.304i 0.304 + 0.304i 13.6 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.304i 0.304 + 0.304i 13.7 0.952 + 0.953i 0.304 + 0.953i 0.952 + 0.305i 0.304 + 0.304i 13.8 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.305i 0.304 + 0.304i 13.9 0.952 + 0.953i 0.305 + 0.953i 0.953 + 0.305i 0.305 + 0.305i 14 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.305i 0.305 + 0.305i 14.1 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.306i 0.306 + 0.305i 14.2 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.306i 0.306 + 0.305i 14.3 0.951 + 0.952i 0.306 + 0.952i 0.953 + 0.306i 0.306 + 0.306i 14.4 0.951 + 0.952i 0.306 + 0.952i 0.953 + 0.306i 0.306 + 0.306i 14.5 0.951 + 0.952i 0.306 + 0.952i 0.952 + 0.307i 0.307 + 0.306i 14.6 0.951 + 0.952i 0.306 + 0.952i 0.952 + 0.307i 0.307 + 0.306i 14.7 0.951 + 0.952i 0.307 + 0.952i 0.953 + 0.307i 0.307 + 0.307i 14.8 0.951 + 0.952i 0.307 + 0.952i 0.952 + 0.307i 0.307 + 0.307i 14.9 0.951 + 0.951i 0.307 + 0.952i 0.952 + 0.307i 0.307 + 0.307i 15 0.951 + 0.951i 0.308 + 0.952i 0.952 + 0.308i 0.308 + 0.307i

64 NUC Normalized values SNR a1 a2 a3 a4 a5 a6 a7 a8 7 0.467 + 0.274i 0.274 + 0.465i 0.456 + 0.247i 0.248 + 0.452i 1.125 + 0.640i 0.633 + 1.125i 1.265 + 0.359i 0.361 + 1.265i 7.1 0.473 + 0.277i 0.277 + 0.471i 0.464 + 0.247i 0.250 + 0.458i 1.106 + 0.638i 0.625 + 1.105i 1.245 + 0.347i 0.348 + 1.242i 7.2 0.482 + 0.281i 0.281 + 0.479i 0.477 + 0.248i 0.251 + 0.467i 1.077 + 0.629i 0.609 + 1.077i 1.213 + 0.333i 0.334 + 1.208i 7.3 0.489 + 0.283i 0.283 + 0.485i 0.487 + 0.248i 0.252 + 0.473i 1.057 + 0.624i 0.597 + 1.057i 1.193 + 0.322i 0.323 + 1.184i 7.4 0.495 + 0.286i 0.285 + 0.489i 0.498 + 0.247i 0.252 + 0.479i 1.041 + 0.621i 0.586 + 1.040i 1.175 + 0.315i 0.315 + 1.164i 7.5 0.500 + 0.287i 0.286 + 0.493i 0.507 + 0.247i 0.253 + 0.485i 1.027 + 0.617i 0.579 + 1.027i 1.161 + 0.308i 0.308 + 1.148i 7.6 0.505 + 0.289i 0.287 + 0.497i 0.513 + 0.247i 0.252 + 0.492i 1.016 + 0.612i 0.576 + 1.016i 1.148 + 0.304i 0.301 + 1.134i 7.7 0.508 + 0.290i 0.289 + 0.502i 0.517 + 0.247i 0.251 + 0.501i 1.006 + 0.602i 0.577 + 1.006i 1.135 + 0.299i 0.296 + 1.124i 7.8 0.512 + 0.291i 0.291 + 0.507i 0.521 + 0.247i 0.250 + 0.510i 0.997 + 0.596i 0.577 + 0.997i 1.124 + 0.294i 0.292 + 1.115i 7.9 0.515 + 0.292i 0.292 + 0.512i 0.525 + 0.248i 0.249 + 0.519i 0.988 + 0.588i 0.579 + 0.988i 1.113 + 0.291i 0.289 + 1.107i 8 0.519 + 0.294i 0.293 + 0.517i 0.530 + 0.247i 0.248 + 0.526i 0.981 + 0.584i 0.577 + 0.981i 1.104 + 0.288i 0.286 + 1.099i 8.1 0.523 + 0.295i 0.295 + 0.522i 0.535 + 0.247i 0.247 + 0.533i 0.974 + 0.580i 0.575 + 0.974i 1.095 + 0.284i 0.284 + 1.092i 8.2 0.527 + 0.296i 0.296 + 0.526i 0.541 + 0.246i 0.246 + 0.540i 0.967 + 0.576i 0.573 + 0.967i 1.087 + 0.282i 0.282 + 1.084i 8.3 0.532 + 0.297i 0.297 + 0.531i 0.547 + 0.245i 0.245 + 0.546i 0.961 + 0.573i 0.570 + 0.961i 1.081 + 0.279i 0.279 + 1.078i 8.4 0.536 + 0.299i 0.299 + 0.535i 0.553 + 0.244i 0.244 + 0.553i 0.955 + 0.570i 0.568 + 0.955i 1.074 + 0.277i 0.277 + 1.072i 8.5 0.541 + 0.300i 0.300 + 0.541i 0.559 + 0.243i 0.244 + 0.559i 0.950 + 0.566i 0.565 + 0.950i 1.068 + 0.275i 0.275 + 1.067i 8.6 0.545 + 0.302i 0.302 + 0.545i 0.566 + 0.242i 0.242 + 0.566i 0.945 + 0.564i 0.563 + 0.945i 1.062 + 0.273i 0.273 + 1.062i 8.7 0.550 + 0.303i 0.303 + 0.550i 0.572 + 0.241i 0.241 + 0.572i 0.940 + 0.561i 0.561 + 0.940i 1.058 + 0.271i 0.271 + 1.057i 8.8 0.554 + 0.305i 0.305 + 0.554i 0.578 + 0.239i 0.240 + 0.578i 0.936 + 0.559i 0.559 + 0.936i 1.053 + 0.268i 0.269 + 1.052i 8.9 0.559 + 0.306i 0.306 + 0.559i 0.584 + 0.238i 0.238 + 0.584i 0.932 + 0.556i 0.557 + 0.932i 1.048 + 0.267i 0.267 + 1.048i 9 0.563 + 0.307i 0.307 + 0.563i 0.590 + 0.236i 0.237 + 0.590i 0.929 + 0.554i 0.554 + 0.929i 1.045 + 0.265i 0.265 + 1.045i 9.1 0.567 + 0.309i 0.309 + 0.566i 0.596 + 0.235i 0.235 + 0.596i 0.925 + 0.553i 0.553 + 0.925i 1.041 + 0.263i 0.264 + 1.041i 9.2 0.571 + 0.310i 0.311 + 0.571i 0.601 + 0.234i 0.234 + 0.601i 0.922 + 0.552i 0.552 + 0.922i 1.039 + 0.261i 0.262 + 1.038i 9.3 0.574 + 0.313i 0.312 + 0.574i 0.607 + 0.232i 0.232 + 0.607i 0.919 + 0.550i 0.550 + 0.919i 1.035 + 0.259i 0.260 + 1.035i 9.4 0.578 + 0.314i 0.314 + 0.578i 0.612 + 0.230i 0.230 + 0.612i 0.916 + 0.550i 0.550 + 0.916i 1.033 + 0.257i 0.258 + 1.033i 9.5 0.581 + 0.316i 0.316 + 0.581i 0.617 + 0.229i 0.229 + 0.617i 0.913 + 0.549i 0.549 + 0.913i 1.030 + 0.255i 0.256 + 1.030i 9.6 0.584 + 0.317i 0.317 + 0.584i 0.622 + 0.226i 0.227 + 0.622i 0.911 + 0.548i 0.549 + 0.911i 1.028 + 0.253i 0.254 + 1.028i 9.7 0.587 + 0.319i 0.319 + 0.587i 0.627 + 0.225i 0.225 + 0.627i 0.908 + 0.549i 0.549 + 0.908i 1.026 + 0.251i 0.252 + 1.026i 9.8 0.589 + 0.321i 0.321 + 0.589i 0.631 + 0.222i 0.223 + 0.631i 0.906 + 0.549i 0.549 + 0.906i 1.025 + 0.249i 0.251 + 1.025i 9.9 0.592 + 0.323i 0.322 + 0.592i 0.636 + 0.221i 0.221 + 0.635i 0.904 + 0.550i 0.549 + 0.904i 1.024 + 0.247i 0.248 + 1.024i 10 0.594 + 0.325i 0.324 + 0.594i 0.640 + 0.219i 0.219 + 0.639i 0.902 + 0.550i 0.549 + 0.902i 1.023 + 0.245i 0.246 + 1.023i 10.1 0.596 + 0.327i 0.326 + 0.596i 0.644 + 0.216i 0.217 + 0.643i 0.900 + 0.551i 0.551 + 0.900i 1.022 + 0.243i 0.245 + 1.022i 10.2 0.598 + 0.329i 0.328 + 0.598i 0.647 + 0.215i 0.215 + 0.647i 0.898 + 0.552i 0.552 + 0.898i 1.021 + 0.241i 0.242 + 1.021i 10.3 0.600 + 0.331i 0.330 + 0.600i 0.651 + 0.213i 0.213 + 0.651i 0.896 + 0.553i 0.552 + 0.896i 1.020 + 0.240i 0.240 + 1.020i 10.4 0.601 + 0.333i 0.332 + 0.601i 0.655 + 0.211i 0.211 + 0.654i 0.894 + 0.554i 0.554 + 0.894i 1.019 + 0.237i 0.238 + 1.020i 10.5 0.603 + 0.335i 0.334 + 0.603i 0.658 + 0.208i 0.208 + 0.658i 0.892 + 0.556i 0.555 + 0.893i 1.019 + 0.235i 0.236 + 1.020i 10.6 0.604 + 0.337i 0.337 + 0.604i 0.661 + 0.206i 0.206 + 0.661i 0.891 + 0.557i 0.556 + 0.891i 1.019 + 0.233i 0.234 + 1.019i 10.7 0.605 + 0.339i 0.339 + 0.605i 0.664 + 0.204i 0.204 + 0.664i 0.890 + 0.558i 0.558 + 0.890i 1.018 + 0.232i 0.232 + 1.019i 10.8 0.606 + 0.341i 0.341 + 0.606i 0.667 + 0.202i 0.202 + 0.668i 0.888 + 0.559i 0.560 + 0.888i 1.018 + 0.229i 0.231 + 1.019i 10.9 0.608 + 0.344i 0.343 + 0.608i 0.670 + 0.200i 0.200 + 0.670i 0.886 + 0.561i 0.561 + 0.887i 1.018 + 0.227i 0.229 + 1.019i 11 0.608 + 0.346i 0.345 + 0.608i 0.673 + 0.198i 0.198 + 0.673i 0.885 + 0.563i 0.563 + 0.886i 1.019 + 0.226i 0.226 + 1.019i 11.1 0.610 + 0.348i 0.347 + 0.610i 0.676 + 0.196i 0.196 + 0.676i 0.884 + 0.564i 0.564 + 0.884i 1.018 + 0.224i 0.224 + 1.020i 11.2 0.610 + 0.350i 0.349 + 0.610i 0.678 + 0.193i 0.193 + 0.678i 0.882 + 0.566i 0.566 + 0.883i 1.019 + 0.222i 0.223 + 1.020i 11.3 0.611 + 0.352i 0.352 + 0.611i 0.681 + 0.191i 0.191 + 0.681i 0.882 + 0.567i 0.567 + 0.882i 1.020 + 0.220i 0.221 + 1.020i 11.4 0.612 + 0.354i 0.354 + 0.612i 0.683 + 0.190i 0.190 + 0.683i 0.881 + 0.569i 0.569 + 0.881i 1.020 + 0.219i 0.220 + 1.021i 11.5 0.613 + 0.356i 0.356 + 0.613i 0.685 + 0.188i 0.188 + 0.685i 0.880 + 0.570i 0.570 + 0.880i 1.020 + 0.217i 0.219 + 1.021i 11.6 0.613 + 0.358i 0.358 + 0.613i 0.687 + 0.186i 0.186 + 0.687i 0.879 + 0.571i 0.571 + 0.879i 1.021 + 0.216i 0.216 + 1.022i 11.7 0.614 + 0.360i 0.360 + 0.614i 0.689 + 0.184i 0.184 + 0.689i 0.878 + 0.573i 0.573 + 0.879i 1.021 + 0.214i 0.215 + 1.022i 11.8 0.614 + 0.362i 0.362 + 0.614i 0.691 + 0.183i 0.183 + 0.690i 0.878 + 0.574i 0.574 + 0.878i 1.022 + 0.213i 0.214 + 1.022i 11.9 0.615 + 0.364i 0.364 + 0.615i 0.693 + 0.181i 0.181 + 0.692i 0.878 + 0.576i 0.575 + 0.878i 1.023 + 0.212i 0.213 + 1.023i 12 0.616 + 0.366i 0.365 + 0.616i 0.694 + 0.180i 0.179 + 0.694i 0.877 + 0.577i 0.576 + 0.877i 1.023 + 0.211i 0.212 + 1.024i 12.1 0.616 + 0.368i 0.367 + 0.616i 0.695 + 0.178i 0.178 + 0.695i 0.876 + 0.577i 0.577 + 0.877i 1.024 + 0.210i 0.211 + 1.025i 12.2 0.617 + 0.370i 0.369 + 0.617i 0.697 + 0.177i 0.176 + 0.697i 0.876 + 0.579i 0.578 + 0.877i 1.025 + 0.209i 0.210 + 1.026i 12.3 0.617 + 0.371i 0.371 + 0.617i 0.698 + 0.175i 0.175 + 0.698i 0.876 + 0.580i 0.579 + 0.876i 1.026 + 0.208i 0.209 + 1.026i 13.8 0.609 + 0.348i 0.423 + 0.614i 0.674 + 0.145i 0.173 + 0.753i 0.894 + 0.556i 0.623 + 0.860i 1.031 + 0.192i 0.222 + 1.050i 13.9 0.609 + 0.347i 0.426 + 0.613i 0.674 + 0.143i 0.173 + 0.755i 0.894 + 0.555i 0.624 + 0.859i 1.031 + 0.191i 0.222 + 1.051i 14 0.609 + 0.347i 0.427 + 0.613i 0.674 + 0.142i 0.172 + 0.757i 0.895 + 0.555i 0.625 + 0.859i 1.032 + 0.191i 0.224 + 1.052i 14.1 0.608 + 0.347i 0.428 + 0.613i 0.674 + 0.140i 0.171 + 0.760i 0.896 + 0.555i 0.626 + 0.859i 1.033 + 0.191i 0.224 + 1.054i 14.2 0.608 + 0.347i 0.430 + 0.612i 0.675 + 0.139i 0.170 + 0.762i 0.896 + 0.554i 0.627 + 0.859i 1.033 + 0.191i 0.225 + 1.055i 14.3 0.607 + 0.344i 0.431 + 0.611i 0.678 + 0.138i 0.168 + 0.764i 0.896 + 0.555i 0.627 + 0.858i 1.035 + 0.191i 0.226 + 1.056i 14.4 0.607 + 0.340i 0.432 + 0.609i 0.686 + 0.136i 0.166 + 0.765i 0.896 + 0.555i 0.627 + 0.857i 1.038 + 0.193i 0.227 + 1.056i 14.5 0.615 + 0.327i 0.433 + 0.599i 0.727 + 0.135i 0.158 + 0.752i 0.897 + 0.564i 0.618 + 0.851i 1.058 + 0.203i 0.223 + 1.044i 14.6 0.622 + 0.322i 0.434 + 0.594i 0.748 + 0.135i 0.154 + 0.743i 0.897 + 0.569i 0.614 + 0.850i 1.068 + 0.208i 0.221 + 1.037i 14.7 0.628 + 0.321i 0.436 + 0.590i 0.763 + 0.135i 0.152 + 0.737i 0.898 + 0.572i 0.611 + 0.848i 1.076 + 0.212i 0.220 + 1.031i 14.8 0.630 + 0.320i 0.437 + 0.589i 0.770 + 0.134i 0.151 + 0.735i 0.898 + 0.573i 0.610 + 0.848i 1.079 + 0.213i 0.220 + 1.030i 14.9 0.634 + 0.320i 0.439 + 0.587i 0.778 + 0.134i 0.150 + 0.731i 0.898 + 0.574i 0.609 + 0.848i 1.084 + 0.214i 0.219 + 1.027i 15 0.637 + 0.322i 0.440 + 0.586i 0.783 + 0.133i 0.149 + 0.729i 0.899 + 0.576i 0.607 + 0.849i 1.087 + 0.216i 0.218 + 1.026i 15.1 0.640 + 0.323i 0.441 + 0.586i 0.787 + 0.133i 0.149 + 0.727i 0.899 + 0.576i 0.607 + 0.849i 1.090 + 0.216i 0.218 + 1.025i 15.2 0.643 + 0.324i 0.442 + 0.585i 0.791 + 0.133i 0.149 + 0.725i 0.899 + 0.576i 0.606 + 0.849i 1.093 + 0.217i 0.218 + 1.023i 15.3 0.645 + 0.326i 0.443 + 0.586i 0.794 + 0.133i 0.148 + 0.725i 0.900 + 0.577i 0.605 + 0.850i 1.095 + 0.218i 0.217 + 1.023 15.4 0.648 + 0.328i 0.444 + 0.586i 0.797 + 0.132i 0.148 + 0.724i 0.900 + 0.577i 0.605 + 0.851i 1.098 + 0.218i 0.717 + 1.022 15.5 0.650 + 0.330i 0.445 + 0.586i 0.799 + 0.132i 0.148 + 0.723i 0.901 + 0.578i 0.605 + 0.851i 1.100 + 0.218i 0.217 + 1.021i 15.6 0.652 + 0.333i 0.446 + 0.587i 0.801 + 0.132i 0.148 + 0.722i 0.902 + 0.578i 0.605 + 0.852i 1.101 + 0.218i 0.217 + 1.021i 15.7 0.654 + 0.334i 0.447 + 0.588i 0.802 + 0.131i 0.148 + 0.722i 0.902 + 0.577i 0.605 + 0.853 1.103 + 0.217i 0.216 + 1.021i 15.8 0.656 + 0.337i 0.448 + 0.588i 0.804 + 0.131i 0.148 + 0.721i 0.904 + 0.577i 0.605 + 0.854i 1.105 + 0.215i 0.216 + 1.020 15.9 0.659 + 0.339i 0.449 + 0.589i 0.806 + 0.131i 0.148 + 0.720i 0.906 + 0.577i 0.605 + 0.854i 1.108 + 0.213i 0.216 + 1.019 16 0.697 + 0.332i 0.450 + 0.568i 0.882 + 0.139i 0.143 + 0.674i 0.892 + 0.600i 0.568 + 0.844i 1.225 + 0.212i 0.196 + 0.977i 16.1 0.700 + 0.333i 0.450 + 0.569i 0.887 + 0.139i 0.144 + 0.673i 0.891 + 0.602i 0.566 + 0.846 1.231 + 0.212i 0.195 + 0.976i 16.2 0.702 + 0.334i 0.451 + 0.569i 0.892 + 0.141i 0.144 + 0.671i 0.889 + 0.605i 0.564 + 0.847i 1.238 + 0.212i 0.194 + 0.975i 16.3 0.705 + 0.335i 0.451 + 0.570i 0.898 + 0.142i 0.144 + 0.670i 0.887 + 0.607i 0.562 + 0.848 1.245 + 0.212i 0.194 + 0.974i 16.4 0.706 + 0.336i 0.451 + 0.571i 0.903 + 0.144i 0.144 + 0.669i 0.884 + 0.609i 0.561 + 0.849i 1.251 + 0.212i 0.193 + 0.974i 16.5 0.708 + 0.338i 0.452 + 0.572i 0.906 + 0.145i 0.145 + 0.669i 0.883 + 0.612i 0.560 + 0.851i 1.255 + 0.211i 0.192 + 0.973i 16.6 0.711 + 0.340i 0.452 + 0.572i 0.911 + 0.147i 0.145 + 0.667i 0.880 + 0.615i 0.557 + 0.853i 1.262 + 0.211i 0.191 + 0.973i 16.7 0.712 + 0.341i 0.452 + 0.573i 0.915 + 0.149i 0.145 + 0.667i 0.877 + 0.618i 0.555 + 0.855i 1.267 + 0.210i 0.190 + 0.974i 16.8 0.715 + 0.343i 0.452 + 0.575i 0.920 + 0.151i 0.145 + 0.666i 0.873 + 0.622i 0.554 + 0.857i 1.274 + 0.209i 0.190 + 0.973i 16.9 0.716 + 0.344i 0.451 + 0.576i 0.925 + 0.153i 0.145 + 0.666i 0.868 + 0.626i 0.552 + 0.860i 1.280 + 0.207i 0.189 + 0.974i 17 0.720 + 0.347i 0.450 + 0.577i 0.932 + 0.156i 0.145 + 0.664i 0.862 + 0.633i 0.548 + 0.863i 1.290 + 0.205i 0.187 + 0.973i 17.1 0.724 + 0.350i 0.449 + 0.579i 0.939 + 0.158i 0.145 + 0.662i 0.855 + 0.641i 0.544 + 0.866i 1.299 + 0.203i 0.185 + 0.972i 17.2 0.726 + 0.353i 0.449 + 0.581i 0.941 + 0.159i 0.145 + 0.662i 0.850 + 0.646i 0.541 + 0.870i 1.303 + 0.201i 0.184 + 0.972i 17.3 0.728 + 0.357i 0.449 + 0.583i 0.943 + 0.160i 0.146 + 0.663i 0.847 + 0.651i 0.539 + 0.873i 1.305 + 0.201i 0.183 + 0.973i 17.4 0.732 + 0.362i 0.448 + 0.585i 0.945 + 0.161i 0.145 + 0.661i 0.841 + 0.661i 0.535 + 0.877i 1.309 + 0.199i 0.182 + 0.972i 17.5 0.734 + 0.366i 0.448 + 0.587i 0.945 + 0.161i 0.146 + 0.662i 0.838 + 0.666i 0.534 + 0.880i 1.309 + 0.199i 0.181 + 0.973i 17.6 0.738 + 0.372i 0.448 + 0.589i 0.945 + 0.161i 0.146 + 0.661i 0.833 + 0.675i 0.529 + 0.884i 1.310 + 0.198i 0.179 + 0.973i 17.7 0.740 + 0.376i 0.448 + 0.592i 0.945 + 0.160i 0.147 + 0.662i 0.831 + 0.681i 0.527 + 0.888i 1.308 + 0.197i 0.178 + 0.973i 17.8 0.743 + 0.381i 0.448 + 0.594i 0.944 + 0.160i 0.147 + 0.663i 0.827 + 0.688i 0.524 + 0.891i 1.308 + 0.197i 0.177 + 0.974i 17.9 0.743 + 0.383i 0.449 + 0.596i 0.944 + 0.160i 0.148 + 0.663i 0.826 + 0.691i 0.523 + 0.894i 1.307 + 0.196i 0.176 + 0.975i 18 0.744 + 0.386i 0.449 + 0.598i 0.943 + 0.160i 0.148 + 0.664i 0.824 + 0.695i 0.522 + 0.897i 1.305 + 0.196i 0.176 + 0.976i 18.1 0.745 + 0.389i 0.450 + 0.601i 0.941 + 0.160i 0.148 + 0.666i 0.823 + 0.699i 0.521 + 0.900i 1.303 + 0.195i 0.175 + 0.976i 18.2 0.746 + 0.391i 0.450 + 0.603i 0.940 + 0.159i 0.148 + 0.667i 0.821 + 0.703i 0.520 + 0.903i 1.300 + 0.195i 0.174 + 0.978i 18.3 0.747 + 0.393i 0.451 + 0.605i 0.939 + 0.159i 0.149 + 0.669i 0.820 + 0.706i 0.518 + 0.905i 1.299 + 0.194i 0.174 + 0.979i 18.4 0.747 + 0.396i 0.452 + 0.608i 0.937 + 0.158i 0.149 + 0.671i 0.819 + 0.709i 0.517 + 0.908i 1.296 + 0.194i 0.173 + 0.981i 18.5 0.747 + 0.397i 0.452 + 0.610i 0.936 + 0.158i 0.150 + 0.673i 0.817 + 0.710i 0.517 + 0.910i 1.294 + 0.193i 0.173 + 0.983i 18.6 0.747 + 0.399i 0.453 + 0.612i 0.934 + 0.158i 0.150 + 0.675i 0.818 + 0.712i 0.517 + 0.912i 1.291 + 0.193i 0.173 + 0.984i 18.7 0.748 + 0.400i 0.454 + 0.614i 0.933 + 0.158i 0.151 + 0.676i 0.817 + 0.714i 0.516 + 0.915i 1.289 + 0.192i 0.173 + 0.985i 18.8 0.748 + 0.402i 0.454 + 0.617i 0.931 + 0.158i 0.151 + 0.679i 0.816 + 0.717i 0.515 + 0.917i 1.287 + 0.192i 0.173 + 0.987i 18.9 0.747 + 0.403i 0.455 + 0.618i 0.931 + 0.158i 0.152 + 0.680i 0.816 + 0.718i 0.515 + 0.919i 1.286 + 0.191i 0.172 + 0.988i 19 0.747 + 0.404i 0.456 + 0.621i 0.929 + 0.157i 0.152 + 0.682i 0.817 + 0.719i 0.515 + 0.921i 1.282 + 0.191i 0.172 + 0.990i 19.1 0.748 + 0.406i 0.457 + 0.623i 0.928 + 0.157i 0.152 + 0.684i 0.817 + 0.721i 0.515 + 0.923i 1.281 + 0.190i 0.172 + 0.991i 19.2 0.747 + 0.408i 0.458 + 0.624i 0.927 + 0.157i 0.153 + 0.686i 0.818 + 0.723i 0.515 + 0.924i 1.278 + 0.189i 0.172 + 0.993i 19.3 0.748 + 0.408i 0.459 + 0.626i 0.926 + 0.157i 0.153 + 0.687i 0.819 + 0.723i 0.515 + 0.926i 1.277 + 0.188i 0.172 + 0.994i 19.4 0.748 + 0.410i 0.461 + 0.627i 0.924 + 0.157i 0.154 + 0.689i 0.820 + 0.726i 0.514 + 0.927i 1.275 + 0.187i 0.172 + 0.996i 19.5 0.747 + 0.411i 0.462 + 0.629i 0.924 + 0.157i 0.154 + 0.691i 0.821 + 0.727i 0.514 + 0.928i 1.273 + 0.187i 0.172 + 0.998i 19.6 0.747 + 0.413i 0.463 + 0.630i 0.922 + 0.157i 0.155 + 0.693i 0.822 + 0.729i 0.514 + 0.930i 1.271 + 0.185i 0.172 + 0.999i 19.7 0.748 + 0.414i 0.465 + 0.631i 0.922 + 0.157i 0.156 + 0.694i 0.823 + 0.731i 0.513 + 0.930i 1.270 + 0.185i 0.171 + 1.000i 19.8 0.747 + 0.415i 0.467 + 0.633i 0.920 + 0.157i 0.157 + 0.696i 0.824 + 0.732i 0.512 + 0.932i 1.268 + 0.183i 0.171 + 1.002i 19.9 0.747 + 0.417i 0.468 + 0.634i 0.918 + 0.157i 0.157 + 0.699i 0.826 + 0.734i 0.511 + 0.933i 1.265 + 0.182i 0.171 + 1.005i 20 0.747 + 0.418i 0.469 + 0.635i 0.917 + 0.157i 0.157 + 0.701i 0.826 + 0.736i 0.511 + 0.934i 1.263 + 0.182i 0.171 + 1.007i Normalized values SNR a9 a10 a11 a12 a13 a14 a15 a16 7 0.461 + 0.272i 0.272 + 0.460i 0.449 + 0.245i 0.247 + 0.446i 1.140 + 0.647i 0.638 + 1.137i 1.287 + 0.360i 0.361 + 1.285i 7.1 0.455 + 0.269i 0.269 + 0.453i 0.445 + 0.241i 0.244 + 0.438i 1.153 + 0.672i 0.655 + 1.150i 1.311 + 0.354i 0.354 + 1.308i 7.2 0.445 + 0.264i 0.264 + 0.441i 0.435 + 0.236i 0.240 + 0.425i 1.175 + 0.703i 0.678 + 1.171i 1.343 + 0.349i 0.351 + 1.342i 7.3 0.436 + 0.259i 0.259 + 0.432i 0.429 + 0.232i 0.236 + 0.416i 1.192 + 0.732i 0.691 + 1.184i 1.363 + 0.343i 0.346 + 1.362i 7.4 0.428 + 0.254i 0.254 + 0.422i 0.424 + 0.228i 0.233 + 0.406i 1.208 + 0.758i 0.701 + 1.195i 1.379 + 0.338i 0.341 + 1.377i 7.5 0.422 + 0.249i 0.249 + 0.415i 0.419 + 0.224i 0.230 + 0.400i 1.220 + 0.778i 0.711 + 1.205i 1.391 + 0.332i 0.335 + 1.387i 7.6 0.416 + 0.245i 0.245 + 0.407i 0.414 + 0.221i 0.226 + 0.394i 1.229 + 0.790i 0.724 + 1.216i 1.400 + 0.326i 0.329 + 1.396i 7.7 0.408 + 0.240i 0.241 + 0.401i 0.406 + 0.218i 0.222 + 0.391i 1.235 + 0.792i 0.745 + 1.227i 1.407 + 0.322i 0.324 + 1.404i 7.8 0.401 + 0.236i 0.237 + 0.395i 0.398 + 0.215i 0.218 + 0.388i 1.242 + 0.796i 0.761 + 1.237i 1.413 + 0.318i 0.318 + 1.410i 7.9 0.394 + 0.232i 0.233 + 0.389i 0.391 + 0.213i 0.215 + 0.385i 1.247 + 0.795i 0.779 + 1.247i 1.418 + 0.314i 0.313 + 1.417i 8 0.388 + 0.228i 0.229 + 0.384i 0.386 + 0.210i 0.211 + 0.380i 1.252 + 0.800i 0.788 + 1.252i 1.423 + 0.310i 0.310 + 1.423i 8.1 0.382 + 0.224i 0.225 + 0.379i 0.379 + 0.207i 0.208 + 0.376i 1.256 + 0.805i 0.796 + 1.256i 1.430 + 0.307i 0.307 + 1.430i 8.2 0.375 + 0.220i 0.220 + 0.373i 0.374 + 0.204i 0.205 + 0.371i 1.260 + 0.809i 0.803 + 1.260i 1.435 + 0.304i 0.304 + 1.435i 8.3 0.370 + 0.217i 0.217 + 0.368i 0.368 + 0.201i 0.201 + 0.366i 1.263 + 0.813i 0.809 + 1.263i 1.440 + 0.302i 0.302 + 1.441i 8.4 0.364 + 0.213i 0.213 + 0.363i 0.362 + 0.198i 0.199 + 0.362i 1.265 + 0.817i 0.815 + 1.265i 1.445 + 0.300i 0.301 + 1.446i 8.5 0.359 + 0.209i 0.210 + 0.358i 0.357 + 0.194i 0.195 + 0.356i 1.267 + 0.820i 0.819 + 1.266i 1.450 + 0.299i 0.300 + 1.451i 8.6 0.353 + 0.206i 0.206 + 0.353i 0.352 + 0.192i 0.192 + 0.352i 1.268 + 0.824i 0.823 + 1.268i 1.455 + 0.298i 0.299 + 1.456i 8.7 0.348 + 0.202i 0.203 + 0.348i 0.347 + 0.189i 0.189 + 0.347i 1.269 + 0.827i 0.826 + 1.269i 1.459 + 0.297i 0.297 + 1.460i 8.8 0.343 + 0.199i 0.200 + 0.343i 0.342 + 0.186i 0.186 + 0.342i 1.269 + 0.829i 0.829 + 1.269i 1.463 + 0.297i 0.297 + 1.465i 8.9 0.339 + 0.196i 0.196 + 0.339i 0.338 + 0.183i 0.183 + 0.339i 1.270 + 0.831i 0.832 + 1.269i 1.467 + 0.296i 0.296 + 1.469i 9 0.334 + 0.194i 0.194 + 0.334i 0.334 + 0.181i 0.181 + 0.334i 1.270 + 0.833i 0.834 + 1.270i 1.471 + 0.295i 0.296 + 1.472i 9.1 0.331 + 0.191i 0.191 + 0.330i 0.330 + 0.178i 0.178 + 0.330i 1.270 + 0.836i 0.836 + 1.269i 1.474 + 0.295i 0.296 + 1.475i 9.2 0.327 + 0.188i 0.189 + 0.327i 0.327 + 0.176i 0.176 + 0.327i 1.269 + 0.837i 0.838 + 1.269i 1.477 + 0.295i 0.295 + 1.477i 9.3 0.323 + 0.186i 0.186 + 0.323i 0.323 + 0.174i 0.174 + 0.323i 1.269 + 0.839i 0.840 + 1.268i 1.479 + 0.294i 0.295 + 1.480i 9.4 0.320 + 0.184i 0.184 + 0.321i 0.320 + 0.171i 0.171 + 0.321i 1.269 + 0.840i 0.841 + 1.269i 1.481 + 0.294i 0.295 + 1.482i 9.5 0.318 + 0.182i 0.182 + 0.318i 0.318 + 0.169i 0.170 + 0.318i 1.269 + 0.841i 0.842 + 1.269i 1.483 + 0.294i 0.294 + 1.484i 9.6 0.315 + 0.180i 0.180 + 0.315i 0.315 + 0.168i 0.168 + 0.316i 1.268 + 0.842i 0.843 + 1.267i 1.485 + 0.293i 0.294 + 1.485i 9.7 0.313 + 0.179i 0.179 + 0.313i 0.313 + 0.166i 0.166 + 0.313i 1.267 + 0.843i 0.843 + 1.267i 1.486 + 0.293i 0.293 + 1.486i 9.8 0.311 + 0.177i 0.177 + 0.311i 0.311 + 0.164i 0.164 + 0.311i 1.266 + 0.844i 0.844 + 1.267i 1.487 + 0.293i 0.293 + 1.487i 9.9 0.309 + 0.176i 0.176 + 0.308i 0.310 + 0.163i 0.163 + 0.309i 1.266 + 0.844i 0.845 + 1.266i 1.488 + 0.293i 0.293 + 1.488i 10 0.307 + 0.175i 0.175 + 0.307i 0.308 + 0.162i 0.162 + 0.307i 1.265 + 0.845i 0.845 + 1.266i 1.489 + 0.293i 0.293 + 1.489i 10.1 0.306 + 0.173i 0.174 + 0.306i 0.307 + 0.160i 0.161 + 0.307i 1.265 + 0.845i 0.845 + 1.265i 1.489 + 0.293i 0.293 + 1.489i 10.2 0.304 + 0.173i 0.173 + 0.304i 0.305 + 0.159i 0.159 + 0.305i 1.264 + 0.845i 0.846 + 1.264i 1.489 + 0.292i 0.292 + 1.489i 10.3 0.304 + 0.172i 0.172 + 0.304i 0.304 + 0.158i 0.158 + 0.304i 1.263 + 0.845i 0.846 + 1.264i 1.489 + 0.292i 0.292 + 1.490i 10.4 0.303 + 0.172i 0.172 + 0.303i 0.304 + 0.157i 0.157 + 0.304i 1.263 + 0.845i 0.846 + 1.263i 1.490 + 0.292i 0.292 + 1.490i 10.5 0.303 + 0.171i 0.171 + 0.302i 0.304 + 0.156i 0.156 + 0.303i 1.262 + 0.845i 0.846 + 1.263i 1.489 + 0.292i 0.292 + 1.489i 10.6 0.302 + 0.170i 0.170 + 0.302i 0.303 + 0.155i 0.155 + 0.303i 1.262 + 0.845i 0.846 + 1.262i 1.489 + 0.292i 0.292 + 1.489i 10.7 0.301 + 0.170i 0.170 + 0.302i 0.302 + 0.154i 0.154 + 0.303i 1.261 + 0.845i 0.845 + 1.261i 1.489 + 0.291i 0.292 + 1.489i 10.8 0.301 + 0.170i 0.170 + 0.302i 0.302 + 0.153i 0.153 + 0.303i 1.261 + 0.844i 0.846 + 1.261i 1.488 + 0.291i 0.292 + 1.488i 10.9 0.302 + 0.169i 0.169 + 0.301i 0.302 + 0.152i 0.152 + 0.302i 1.260 + 0.843i 0.845 + 1.260i 1.488 + 0.291i 0.292 + 1.488i 11 0.302 + 0.170i 0.170 + 0.301i 0.302 + 0.151i 0.151 + 0.302i 1.260 + 0.843i 0.845 + 1.260i 1.486 + 0.291i 0.292 + 1.487i 11.1 0.302 + 0.169i 0.169 + 0.302i 0.302 + 0.151i 0.151 + 0.302i 1.259 + 0.843i 0.844 + 1.259i 1.486 + 0.291i 0.292 + 1.487i 11.2 0.302 + 0.169i 0.169 + 0.302i 0.303 + 0.150i 0.150 + 0.302i 1.258 + 0.842i 0.844 + 1.258i 1.485 + 0.291i 0.292 + 1.486i 11.3 0.302 + 0.169i 0.169 + 0.302i 0.303 + 0.149i 0.149 + 0.302i 1.257 + 0.842i 0.843 + 1.258i 1.485 + 0.292i 0.292 + 1.485i 11.4 0.302 + 0.169i 0.169 + 0.302i 0.304 + 0.148i 0.148 + 0.304i 1.257 + 0.841i 0.843 + 1.257i 1.484 + 0.292i 0.292 + 1.484i 11.5 0.303 + 0.169i 0.169 + 0.303i 0.304 + 0.148i 0.148 + 0.304i 1.256 + 0.841i 0.842 + 1.257i 1.483 + 0.292i 0.292 + 1.483i 11.6 0.304 + 0.169i 0.169 + 0.304i 0.305 + 0.146i 0.147 + 0.304i 1.256 + 0.840i 0.841 + 1.256i 1.482 + 0.292i 0.292 + 1.482i 11.7 0.304 + 0.169i 0.169 + 0.303i 0.306 + 0.146i 0.146 + 0.305i 1.255 + 0.839i 0.840 + 1.255i 1.481 + 0.292i 0.292 + 1.482i 11.8 0.305 + 0.169i 0.169 + 0.304i 0.307 + 0.145i 0.145 + 0.305i 1.254 + 0.839i 0.840 + 1.255i 1.480 + 0.291i 0.291 + 1.480i 11.9 0.306 + 0.168i 0.168 + 0.305i 0.308 + 0.144i 0.145 + 0.306i 1.254 + 0.838i 0.839 + 1.254i 1.479 + 0.291i 0.291 + 1.479i 12 0.307 + 0.168i 0.168 + 0.305i 0.309 + 0.143i 0.143 + 0.307i 1.253 + 0.837i 0.839 + 1.254i 1.478 + 0.291i 0.291 + 1.478i 12.1 0.307 + 0.168i 0.168 + 0.306i 0.309 + 0.142i 0.142 + 0.308i 1.252 + 0.836i 0.838 + 1.252i 1.477 + 0.291i 0.292 + 1.478i 12.2 0.308 + 0.168i 0.168 + 0.307i 0.311 + 0.142i 0.142 + 0.309i 1.251 + 0.836i 0.837 + 1.251i 1.477 + 0.292i 0.292 + 1.477i 12.3 0.309 + 0.168i 0.168 + 0.308i 0.311 + 0.141i 0.141 + 0.311i 1.250 + 0.836i 0.836 + 1.251i 1.475 + 0.292i 0.291 + 1.475i 13.8 0.256 + 0.154i 0.187 + 0.392i 0.241 + 0.126i 0.128 + 0.423i 1.246 + 0.810i 0.839 + 1.226i 1.459 + 0.282i 0.299 + 1.461i 13.9 0.256 + 0.154i 0.189 + 0.395i 0.238 + 0.126i 0.127 + 0.426i 1.244 + 0.809i 0.838 + 1.225i 1.458 + 0.282i 0.299 + 1.460i 14 0.256 + 0.154i 0.191 + 0.398i 0.235 + 0.125i 0.126 + 0.429i 1.244 + 0.808i 0.838 + 1.224i 1.457 + 0.282i 0.299 + 1.459i 14.1 0.257 + 0.156i 0.194 + 0.400i 0.231 + 0.125i 0.126 + 0.432i 1.242 + 0.808i 0.838 + 1.223i 1.456 + 0.282i 0.299 + 1.459i 14.2 0.259 + 0.157i 0.196 + 0.402i 0.227 + 0.124i 0.125 + 0.435i 1.241 + 0.807i 0.836 + 1.222i 1.455 + 0.282i 0.299 + 1.459i 14.3 0.264 + 0.159i 0.201 + 0.405i 0.219 + 0.124i 0.124 + 0.436i 1.239 + 0.807i 0.835 + 1.221i 1.453 + 0.282i 0.298 + 1.458i 14.4 0.275 + 0.161i 0.209 + 0.408i 0.207 + 0.123i 0.122 + 0.435i 1.236 + 0.808i 0.832 + 1.220i 1.453 + 0.283i 0.297 + 1.457i 14.5 0.320 + 0.160i 0.241 + 0.403i 0.175 + 0.118i 0.118 + 0.418i 1.230 + 0.818i 0.818 + 1.216i 1.463 + 0.290i 0.291 + 1.444i 14.6 0.339 + 0.158i 0.258 + 0.400i 0.162 + 0.116i 0.117 + 0.411i 1.225 + 0.823i 0.810 + 1.214i 1.466 + 0.294i 0.287 + 1.436i 14.7 0.352 + 0.155i 0.270 + 0.397i 0.154 + 0.115i 0.115 + 0.406i 1.221 + 0.827i 0.804 + 1.213i 1.470 + 0.297i 0.284 + 1.429i 14.8 0.359 + 0.154i 0.276 + 0.396i 0.149 + 0.114i 0.115 + 0.405i 1.218 + 0.828i 0.800 + 1.212i 1.470 + 0.298i 0.282 + 1.426i 14.9 0.366 + 0.152i 0.282 + 0.394i 0.146 + 0.113i 0.114 + 0.403i 1.215 + 0.830i 0.796 + 1.211i 1.471 + 0.300i 0.281 + 1.423i 15 0.371 + 0.151i 0.286 + 0.393i 0.143 + 0.112i 0.114 + 0.402i 1.213 + 0.831i 0.793 + 1.210i 1.472 + 0.301i 0.279 + 1.420i 15.1 0.375 + 0.149i 0.290 + 0.391i 0.140 + 0.112i 0.113 + 0.400i 1.210 + 0.832i 0.790 + 1.209i 1.472 + 0.303i 0.278 + 1.418i 15.2 0.379 + 0.149i 0.294 + 0.390i 0.138 + 0.112i 0.113 + 0.400i 1.207 + 0.833i 0.788 + 1.209i 1.473 + 0.304i 0.276 + 1.415i 15.3 0.382 + 0.148i 0.296 + 0.390i 0.137 + 0.111i 0.113 + 0.400i 1.204 + 0.835i 0.785 + 1.209i 1.472 + 0.305i 0.275 + 1.414i 15.4 0.386 + 0.147i 0.299 + 0.389i 0.135 + 0.111i 0.112 + 0.399i 1.202 + 0.835i 0.782 + 1.208i 1.473 + 0.308i 0.274 + 1.411i 15.5 0.388 + 0.146i 0.302 + 0.388i 0.135 + 0.111i 0.112 + 0.399i 1.199 + 0.837i 0.779 + 1.208i 1.472 + 0.310i 0.272 + 1.409i 15.6 0.391 + 0.146i 0.304 + 0.388i 0.133 + 0.111i 0.112 + 0.398i 1.196 + 0.839i 0.776 + 1.208i 1.471 + 0.312i 0.271 + 1.408i 15.7 0.393 + 0.145i 0.306 + 0.388i 0.132 + 0.111i 0.112 + 0.399i 1.192 + 0.841i 0.773 + 1.208i 1.470 + 0.315i 0.270 + 1.407i 15.8 0.396 + 0.145i 0.308 + 0.387i 0.132 + 0.111i 0.112 + 0.399i 1.187 + 0.846i 0.768 + 1.210i 1.469 + 0.323i 0.267 + 1.404i 15.9 0.398 + 0.144i 0.311 + 0.386i 0.131 + 0.111i 0.112 + 0.398i 1.180 + 0.852i 0.762 + 1.211i 1.466 + 0.334i 0.264 + 1.402i 16 0.444 + 0.132i 0.340 + 0.360i 0.137 + 0.101i 0.120 + 0.366i 1.071 + 0.959i 0.676 + 1.224i 1.400 + 0.583i 0.232 + 1.365i 16.1 0.448 + 0.132i 0.343 + 0.359i 0.138 + 0.102i 0.121 + 0.365i 1.066 + 0.963i 0.672 + 1.225i 1.393 + 0.589i 0.230 + 1.363i 16.2 0.452 + 0.131i 0.345 + 0.358i 0.139 + 0.101i 0.122 + 0.364i 1.059 + 0.966i 0.667 + 1.225i 1.384 + 0.597i 0.229 + 1.361i 16.3 0.457 + 0.130i 0.347 + 0.358i 0.140 + 0.100i 0.122 + 0.363i 1.054 + 0.969i 0.664 + 1.225i 1.377 + 0.601i 0.227 + 1.359i 16.4 0.460 + 0.130i 0.349 + 0.357i 0.141 + 0.100i 0.123 + 0.363i 1.049 + 0.971i 0.659 + 1.226i 1.369 + 0.606i 0.225 + 1.357i 16.5 0.464 + 0.130i 0.350 + 0.357i 0.142 + 0.100i 0.123 + 0.362i 1.045 + 0.973i 0.656 + 1.227i 1.363 + 0.608i 0.224 + 1.355i 16.6 0.469 + 0.130i 0.353 + 0.356i 0.143 + 0.100i 0.124 + 0.362i 1.040 + 0.976i 0.652 + 1.227i 1.354 + 0.611i 0.223 + 1.354i 16.7 0.472 + 0.129i 0.354 + 0.356i 0.144 + 0.100i 0.124 + 0.361i 1.036 + 0.978i 0.649 + 1.228i 1.347 + 0.612i 0.221 + 1.353i 16.8 0.477 + 0.129i 0.357 + 0.355i 0.145 + 0.100i 0.124 + 0.361i 1.032 + 0.980i 0.646 + 1.229i 1.337 + 0.612i 0.220 + 1.351i 16.9 0.480 + 0.129i 0.358 + 0.355i 0.146 + 0.100i 0.124 + 0.361i 1.028 + 0.982i 0.644 + 1.230i 1.328 + 0.612i 0.219 + 1.350i 17 0.487 + 0.129i 0.361 + 0.353i 0.148 + 0.099i 0.125 + 0.360i 1.025 + 0.984i 0.640 + 1.230i 1.316 + 0.610i 0.217 + 1.348i 17.1 0.493 + 0.128i 0.365 + 0.352i 0.149 + 0.099i 0.126 + 0.359i 1.022 + 0.986i 0.638 + 1.231i 1.303 + 0.607i 0.216 + 1.346i 17.2 0.496 + 0.128i 0.367 + 0.352i 0.150 + 0.100i 0.126 + 0.359i 1.019 + 0.988i 0.636 + 1.233i 1.294 + 0.604i 0.215 + 1.345i 17.3 0.499 + 0.128i 0.369 + 0.352i 0.151 + 0.100i 0.126 + 0.360i 1.016 + 0.990i 0.634 + 1.233i 1.287 + 0.602i 0.215 + 1.344i 17.4 0.504 + 0.129i 0.372 + 0.351i 0.152 + 0.100i 0.127 + 0.359i 1.015 + 0.993i 0.632 + 1.236i 1.275 + 0.598i 0.213 + 1.342i 17.5 0.507 + 0.129i 0.374 + 0.351i 0.153 + 0.101i 0.128 + 0.361i 1.014 + 0.995i 0.630 + 1.236i 1.268 + 0.595i 0.213 + 1.341i 17.6 0.510 + 0.130i 0.377 + 0.351i 0.154 + 0.102i 0.128 + 0.362i 1.013 + 0.998i 0.629 + 1.238i 1.258 + 0.592i 0.212 + 1.339i 17.7 0.513 + 0.130i 0.379 + 0.351i 0.155 + 0.103i 0.129 + 0.363i 1.012 + 0.999i 0.628 + 1.239i 1.252 + 0.589i 0.211 + 1.339i 17.8 0.516 + 0.131i 0.382 + 0.351i 0.156 + 0.104i 0.129 + 0.364i 1.011 + 1.002i 0.627 + 1.240i 1.244 + 0.587i 0.211 + 1.338i 17.9 0.518 + 0.131i 0.383 + 0.351i 0.156 + 0.105i 0.129 + 0.365i 1.010 + 1.003i 0.625 + 1.241i 1.238 + 0.585i 0.210 + 1.338i 18 0.519 + 0.131i 0.384 + 0.352i 0.157 + 0.106i 0.129 + 0.368i 1.008 + 1.004i 0.624 + 1.243i 1.233 + 0.583i 0.209 + 1.337i 18.1 0.521 + 0.131i 0.386 + 0.354i 0.157 + 0.107i 0.129 + 0.369i 1.007 + 1.006i 0.624 + 1.244i 1.228 + 0.581i 0.209 + 1.336i 18.2 0.522 + 0.132i 0.387 + 0.354i 0.158 + 0.108i 0.129 + 0.371i 1.005 + 1.008i 0.622 + 1.246i 1.223 + 0.579i 0.209 + 1.336i 18.3 0.523 + 0.132i 0.389 + 0.355i 0.158 + 0.110i 0.130 + 0.374i 1.004 + 1.009i 0.621 + 1.246i 1.218 + 0.576i 0.208 + 1.336i 18.4 0.524 + 0.132i 0.390 + 0.356i 0.158 + 0.111i 0.130 + 0.376i 1.002 + 1.011i 0.620 + 1.247i 1.214 + 0.575i 0.208 + 1.336i 18.5 0.525 + 0.132i 0.390 + 0.357i 0.158 + 0.113i 0.130 + 0.379i 0.999 + 1.012i 0.618 + 1.248i 1.210 + 0.572i 0.207 + 1.337i 18.6 0.525 + 0.132i 0.391 + 0.358i 0.158 + 0.114i 0.130 + 0.381i 0.997 + 1.014i 0.616 + 1.250i 1.207 + 0.571i 0.206 + 1.337i 18.7 0.526 + 0.132i 0.392 + 0.359i 0.159 + 0.115i 0.130 + 0.383i 0.993 + 1.017i 0.614 + 1.251i 1.203 + 0.569i 0.206 + 1.337i 18.8 0.527 + 0.133i 0.392 + 0.360i 0.159 + 0.116i 0.130 + 0.385i 0.989 + 1.019i 0.612 + 1.253i 1.198 + 0.567i 0.204 + 1.337i 18.9 0.529 + 0.133i 0.393 + 0.360i 0.159 + 0.117i 0.130 + 0.388i 0.985 + 1.021i 0.608 + 1.255i 1.196 + 0.565i 0.204 + 1.337i 19 0.528 + 0.133i 0.394 + 0.362i 0.159 + 0.119i 0.131 + 0.390i 0.980 + 1.025i 0.605 + 1.257i 1.193 + 0.563i 0.203 + 1.338i 19.1 0.529 + 0.133i 0.395 + 0.363i 0.160 + 0.119i 0.131 + 0.392i 0.976 + 1.028i 0.602 + 1.259i 1.190 + 0.561i 0.201 + 1.338i 19.2 0.530 + 0.134i 0.395 + 0.364i 0.160 + 0.121i 0.131 + 0.394i 0.970 + 1.033i 0.597 + 1.260i 1.187 + 0.558i 0.200 + 1.339i 19.3 0.531 + 0.134i 0.396 + 0.365i 0.160 + 0.122i 0.131 + 0.396i 0.962 + 1.037i 0.592 + 1.263i 1.184 + 0.556i 0.198 + 1.339i 19.4 0.532 + 0.134i 0.396 + 0.365i 0.160 + 0.122i 0.131 + 0.398i 0.956 + 1.042i 0.587 + 1.264i 1.182 + 0.553i 0.196 + 1.340i 19.5 0.534 + 0.134i 0.397 + 0.365i 0.160 + 0.123i 0.131 + 0.399i 0.949 + 1.046i 0.583 + 1.265i 1.179 + 0.551i 0.194 + 1.341i 19.6 0.534 + 0.134i 0.397 + 0.366i 0.161 + 0.125i 0.131 + 0.403i 0.942 + 1.051i 0.578 + 1.267i 1.177 + 0.548i 0.193 + 1.342i 19.7 0.535 + 0.135i 0.398 + 0.367i 0.161 + 0.125i 0.132 + 0.404i 0.935 + 1.057i 0.572 + 1.267i 1.174 + 0.545i 0.191 + 1.342i 19.8 0.535 + 0.135i 0.398 + 0.368i 0.161 + 0.126i 0.132 + 0.406i 0.930 + 1.060i 0.569 + 1.269i 1.171 + 0.541i 0.191 + 1.344i 19.9 0.536 + 0.135i 0.399 + 0.368i 0.161 + 0.128i 0.132 + 0.408i 0.923 + 1.064i 0.564 + 1.270i 1.168 + 0.539i 0.189 + 1.345i 20 0.537 + 0.135i 0.399 + 0.368i 0.161 + 0.128i 0.132 + 0.410i 0.919 + 1.066i 0.562 + 1.270i 1.165 + 0.536i 0.188 + 1.346i

256NUC Normalized values SNR a1 a2 a3 a4 a5 a6 a7 a8 10 1.467 + 0.993i 1.751 + 0.343i 0.887 + 0.534i 1.003 + 0.243i 1.216 + 0.823i 1.435 + 0.289i 0.903 + 0.552i 1.025 + 0.246i 10.1 1.468 + 0.993i 1.753 + 0.345i 0.883 + 0.533i 1.000 + 0.241i 1.215 + 0.823i 1.435 + 0.289i 0.900 + 0.552i 1.023 + 0.244i 10.2 1.472 + 0.994i 1.754 + 0.345i 0.879 + 0.533i 0.997 + 0.240i 1.214 + 0.823i 1.434 + 0.287i 0.897 + 0.552i 1.021 + 0.243i 10.3 1.475 + 0.995i 1.757 + 0.346i 0.876 + 0.533i 0.994 + 0.238i 1.213 + 0.822i 1.434 + 0.287i 0.894 + 0.552i 1.019 + 0.241i 10.4 1.477 + 0.996i 1.759 + 0.346i 0.873 + 0.533i 0.992 + 0.236i 1.211 + 0.822i 1.434 + 0.286i 0.891 + 0.553i 1.017 + 0.239i 10.5 1.481 + 0.997i 1.760 + 0.347i 0.870 + 0.532i 0.990 + 0.235i 1.209 + 0.821i 1.433 + 0.286i 0.889 + 0.553i 1.015 + 0.237i 10.6 1.484 + 0.999i 1.762 + 0.347i 0.867 + 0.532i 0.988 + 0.233i 1.208 + 0.821i 1.432 + 0.285i 0.886 + 0.554i 1.014 + 0.235i 10.7 1.486 + 1.001i 1.764 + 0.348i 0.864 + 0.533i 0.986 + 0.231i 1.206 + 0.821i 1.431 + 0.284i 0.883 + 0.555i 1.013 + 0.233i 10.8 1.488 + 1.002i 1.765 + 0.349i 0.862 + 0.533i 0.985 + 0.229i 1.204 + 0.820i 1.431 + 0.284i 0.881 + 0.555i 1.012 + 0.231i 10.9 1.491 + 1.003i 1.767 + 0.349i 0.859 + 0.533i 0.983 + 0.227i 1.202 + 0.819i 1.429 + 0.283i 0.879 + 0.556i 1.011 + 0.229i 11 1.494 + 1.005i 1.768 + 0.349i 0.857 + 0.535i 0.982 + 0.225i 1.200 + 0.819i 1.429 + 0.282i 0.876 + 0.557i 1.010 + 0.227i 11.1 1.495 + 1.006i 1.770 + 0.350i 0.855 + 0.534i 0.981 + 0.223i 1.198 + 0.819i 1.428 + 0.280i 0.874 + 0.558i 1.009 + 0.225i 11.2 1.497 + 1.007i 1.771 + 0.350i 0.853 + 0.536i 0.980 + 0.221i 1.195 + 0.820i 1.427 + 0.277i 0.873 + 0.560i 1.009 + 0.222i 11.3 1.498 + 1.009i 1.772 + 0.351i 0.850 + 0.536i 0.979 + 0.219i 1.187 + 0.826i 1.427 + 0.268i 0.869 + 0.562i 1.009 + 0.218i 11.4 1.499 + 1.012i 1.775 + 0.353i 0.848 + 0.537i 0.978 + 0.218i 1.174 + 0.838i 1.428 + 0.250i 0.865 + 0.566i 1.009 + 0.213i 11.5 1.501 + 1.016i 1.778 + 0.354i 0.846 + 0.536i 0.976 + 0.216i 1.162 + 0.850i 1.429 + 0.233i 0.862 + 0.569i 1.009 + 0.208i 11.6 1.503 + 1.020i 1.782 + 0.355i 0.843 + 0.535i 0.975 + 0.214i 1.152 + 0.859i 1.430 + 0.220i 0.859 + 0.572i 1.009 + 0.204i 11.7 1.504 + 1.023i 1.785 + 0.356i 0.841 + 0.536i 0.973 + 0.213i 1.144 + 0.867i 1.431 + 0.209i 0.856 + 0.574i 1.008 + 0.200i 11.8 1.505 + 1.028i 1.789 + 0.357i 0.839 + 0.535i 0.971 + 0.211i 1.137 + 0.872i 1.432 + 0.199i 0.853 + 0.576i 1.008 + 0.196i 11.9 1.506 + 1.032i 1.792 + 0.357i 0.837 + 0.534i 0.969 + 0.210i 1.131 + 0.878i 1.432 + 0.191i 0.851 + 0.578i 1.008 + 0.193i 12 1.507 + 1.035i 1.795 + 0.357i 0.834 + 0.534i 0.968 + 0.208i 1.126 + 0.883i 1.432 + 0.183i 0.848 + 0.579i 1.008 + 0.190i 12.1 1.507 + 1.040i 1.798 + 0.358i 0.833 + 0.534i 0.966 + 0.206i 1.121 + 0.888i 1.433 + 0.176i 0.846 + 0.581i 1.008 + 0.187i 12.2 1.507 + 1.043i 1.800 + 0.358i 0.831 + 0.534i 0.965 + 0.205i 1.117 + 0.892i 1.434 + 0.171i 0.844 + 0.581i 1.008 + 0.185i 12.3 1.507 + 1.047i 1.803 + 0.357i 0.829 + 0.534i 0.965 + 0.204i 1.113 + 0.896i 1.434 + 0.165i 0.843 + 0.583i 1.008 + 0.183i 12.4 1.506 + 1.052i 1.805 + 0.358i 0.827 + 0.534i 0.964 + 0.202i 1.109 + 0.900i 1.436 + 0.160i 0.841 + 0.584i 1.009 + 0.180i 12.5 1.505 + 1.057i 1.808 + 0.355i 0.825 + 0.535i 0.963 + 0.201i 1.105 + 0.903i 1.434 + 0.156i 0.840 + 0.585i 1.009 + 0.179i 12.6 1.502 + 1.063i 1.810 + 0.352i 0.825 + 0.536i 0.963 + 0.200i 1.101 + 0.906i 1.434 + 0.152i 0.839 + 0.587i 1.011 + 0.177i 12.7 1.499 + 1.070i 1.812 + 0.349i 0.823 + 0.536i 0.963 + 0.199i 1.098 + 0.910i 1.434 + 0.148i 0.838 + 0.588i 1.012 + 0.176i 12.8 1.342 + 1.283i 1.791 + 0.241i 0.814 + 0.553i 0.982 + 0.199i 1.083 + 0.931i 1.409 + 0.158i 0.855 + 0.616i 1.047 + 0.187i 12.9 1.333 + 1.290i 1.791 + 0.243i 0.810 + 0.560i 0.986 + 0.198i 1.077 + 0.937i 1.413 + 0.155i 0.850 + 0.622i 1.051 + 0.185i 13 1.323 + 1.296i 1.791 + 0.245i 0.804 + 0.567i 0.991 + 0.196i 1.070 + 0.944i 1.418 + 0.151i 0.844 + 0.628i 1.056 + 0.183i 13.1 1.316 + 1.299i 1.791 + 0.246i 0.800 + 0.571i 0.994 + 0.194i 1.065 + 0.947i 1.421 + 0.149i 0.840 + 0.632i 1.060 + 0.181i 13.2 1.308 + 1.303i 1.791 + 0.249i 0.795 + 0.576i 0.999 + 0.192i 1.060 + 0.951i 1.424 + 0.146i 0.835 + 0.637i 1.065 + 0.178i 13.3 1.304 + 1.304i 1.790 + 0.249i 0.792 + 0.579i 1.001 + 0.189i 1.058 + 0.952i 1.425 + 0.144i 0.833 + 0.639i 1.067 + 0.176i 13.4 1.298 + 1.307i 1.789 + 0.250i 0.788 + 0.583i 1.004 + 0.187i 1.054 + 0.955i 1.426 + 0.142i 0.829 + 0.642i 1.072 + 0.174i 13.5 1.290 + 1.310i 1.788 + 0.251i 0.784 + 0.587i 1.008 + 0.184i 1.050 + 0.958i 1.427 + 0.140i 0.825 + 0.646i 1.076 + 0.172i 13.6 1.285 + 1.312i 1.787 + 0.251i 0.781 + 0.589i 1.011 + 0.182i 1.047 + 0.959i 1.428 + 0.139i 0.822 + 0.648i 1.080 + 0.170i 13.7 1.151 + 1.337i 1.759 + 0.218i 0.766 + 0.621i 1.040 + 0.173i 0.999 + 0.966i 1.434 + 0.173i 0.811 + 0.676i 1.122 + 0.179i 13.8 1.147 + 1.339i 1.759 + 0.218i 0.763 + 0.623i 1.042 + 0.171i 0.996 + 0.969i 1.435 + 0.172i 0.808 + 0.679i 1.124 + 0.176i 13.9 1.142 + 1.340i 1.759 + 0.219i 0.761 + 0.627i 1.046 + 0.169i 0.991 + 0.972i 1.436 + 0.173i 0.806 + 0.684i 1.129 + 0.174i 14 1.139 + 1.341i 1.760 + 0.220i 0.759 + 0.629i 1.048 + 0.168i 0.988 + 0.975i 1.436 + 0.172i 0.803 + 0.687i 1.132 + 0.171i 14.1 1.137 + 1.343i 1.760 + 0.221i 0.757 + 0.631i 1.050 + 0.166i 0.985 + 0.977i 1.437 + 0.172i 0.801 + 0.690i 1.135 + 0.169i 14.2 1.134 + 1.344i 1.759 + 0.221i 0.755 + 0.635i 1.052 + 0.164i 0.982 + 0.979i 1.437 + 0.172i 0.799 + 0.694i 1.138 + 0.166i 14.3 1.132 + 1.345i 1.760 + 0.221i 0.753 + 0.636i 1.054 + 0.162i 0.979 + 0.981i 1.437 + 0.173i 0.797 + 0.697i 1.141 + 0.165i 14.4 1.130 + 1.345i 1.760 + 0.222i 0.752 + 0.639i 1.056 + 0.161i 0.976 + 0.982i 1.438 + 0.174i 0.795 + 0.701i 1.144 + 0.162i 14.5 1.128 + 1.346i 1.759 + 0.222i 0.750 + 0.640i 1.057 + 0.159i 0.974 + 0.984i 1.438 + 0.174i 0.794 + 0.704i 1.146 + 0.160i 14.6 1.127 + 1.346i 1.759 + 0.222i 0.749 + 0.643i 1.059 + 0.158i 0.971 + 0.985i 1.438 + 0.175i 0.792 + 0.707i 1.149 + 0.159i 14.7 1.125 + 1.347i 1.759 + 0.222i 0.747 + 0.646i 1.061 + 0.156i 0.968 + 0.987i 1.438 + 0.175i 0.790 + 0.711i 1.151 + 0.157i 14.8 1.124 + 1.347i 1.759 + 0.222i 0.746 + 0.648i 1.063 + 0.155i 0.966 + 0.988i 1.439 + 0.177i 0.789 + 0.714i 1.154 + 0.155i 14.9 1.123 + 1.346i 1.759 + 0.223i 0.745 + 0.649i 1.064 + 0.153i 0.964 + 0.989i 1.439 + 0.177i 0.788 + 0.716i 1.156 + 0.154i 15 1.123 + 1.346i 1.758 + 0.222i 0.744 + 0.651i 1.065 + 0.152i 0.961 + 0.990i 1.439 + 0.178i 0.787 + 0.720i 1.158 + 0.153i 15.1 1.124 + 1.344i 1.758 + 0.222i 0.743 + 0.653i 1.066 + 0.151i 0.959 + 0.991i 1.439 + 0.178i 0.786 + 0.723i 1.159 + 0.151i 15.2 1.125 + 1.342i 1.757 + 0.222i 0.742 + 0.655i 1.067 + 0.149i 0.958 + 0.991i 1.439 + 0.179i 0.785 + 0.726i 1.161 + 0.150i 15.3 1.126 + 1.340i 1.757 + 0.222i 0.740 + 0.657i 1.068 + 0.147i 0.956 + 0.992i 1.438 + 0.179i 0.784 + 0.728i 1.162 + 0.148i 15.4 1.128 + 1.336i 1.756 + 0.222i 0.739 + 0.659i 1.069 + 0.146i 0.954 + 0.992i 1.438 + 0.180i 0.783 + 0.732i 1.163 + 0.147i 15.5 0.543 + 0.298i 0.585 + 0.123i 0.303 + 0.160i 0.321 + 0.107i 0.539 + 0.309i 0.585 + 0.120i 0.303 + 0.162i 0.320 + 0.108i 15.6 0.543 + 0.297i 0.587 + 0.123i 0.311 + 0.160i 0.331 + 0.105i 0.539 + 0.308i 0.587 + 0.119i 0.311 + 0.163i 0.330 + 0.106i 15.7 0.543 + 0.297i 0.589 + 0.123i 0.318 + 0.162i 0.340 + 0.103i 0.539 + 0.309i 0.589 + 0.118i 0.318 + 0.164i 0.339 + 0.104i 15.8 0.543 + 0.297i 0.590 + 0.122i 0.323 + 0.162i 0.346 + 0.101i 0.539 + 0.308i 0.590 + 0.117i 0.323 + 0.165i 0.346 + 0.102i 15.9 0.543 + 0.297i 0.591 + 0.122i 0.328 + 0.164i 0.353 + 0.100i 0.538 + 0.308i 0.591 + 0.116i 0.328 + 0.166i 0.352 + 0.101i 16 0.542 + 0.297i 0.591 + 0.121i 0.332 + 0.165i 0.358 + 0.099i 0.537 + 0.309i 0.592 + 0.115i 0.332 + 0.168i 0.358 + 0.100i 16.1 0.542 + 0.297i 0.592 + 0.121i 0.336 + 0.167i 0.363 + 0.098i 0.536 + 0.309i 0.593 + 0.114i 0.336 + 0.169i 0.363 + 0.099i 16.2 0.542 + 0.297i 0.593 + 0.121i 0.340 + 0.169i 0.368 + 0.097i 0.536 + 0.311i 0.595 + 0.114i 0.340 + 0.171i 0.368 + 0.098i 16.3 0.541 + 0.298i 0.594 + 0.121i 0.343 + 0.171i 0.373 + 0.096i 0.534 + 0.311i 0.595 + 0.113i 0.343 + 0.173i 0.373 + 0.096i 16.4 0.540 + 0.299i 0.594 + 0.121i 0.346 + 0.174i 0.376 + 0.096i 0.533 + 0.313i 0.595 + 0.112i 0.346 + 0.176i 0.377 + 0.096i 16.5 0.540 + 0.299i 0.594 + 0.121i 0.350 + 0.176i 0.381 + 0.095i 0.532 + 0.315i 0.597 + 0.111i 0.350 + 0.178i 0.381 + 0.095i 16.6 0.538 + 0.301i 0.595 + 0.122i 0.353 + 0.179i 0.385 + 0.094i 0.530 + 0.317i 0.597 + 0.110i 0.353 + 0.182i 0.386 + 0.094i 16.7 0.538 + 0.301i 0.596 + 0.122i 0.356 + 0.182i 0.389 + 0.094i 0.528 + 0.319i 0.599 + 0.109i 0.356 + 0.184i 0.389 + 0.094i 16.8 0.537 + 0.303i 0.597 + 0.123i 0.359 + 0.186i 0.393 + 0.094i 0.527 + 0.322i 0.600 + 0.108i 0.359 + 0.189i 0.394 + 0.093i 16.9 0.535 + 0.305i 0.596 + 0.123i 0.362 + 0.190i 0.396 + 0.094i 0.525 + 0.325i 0.600 + 0.108i 0.362 + 0.192i 0.397 + 0.093i 17 0.534 + 0.306i 0.597 + 0.123i 0.364 + 0.193i 0.400 + 0.093i 0.523 + 0.327i 0.600 + 0.106i 0.364 + 0.196i 0.401 + 0.092i 17.1 0.534 + 0.307i 0.596 + 0.124i 0.366 + 0.197i 0.402 + 0.093i 0.521 + 0.350i 0.600 + 0.106i 0.366 + 0.200i 0.403 + 0.091i 17.2 0.533 + 0.307i 0.596 + 0.124i 0.368 + 0.200i 0.403 + 0.093i 0.519 + 0.331i 0.600 + 0.104i 0.367 + 0.203i 0.404 + 0.091i 17.3 0.532 + 0.306i 0.595 + 0.124i 0.368 + 0.201i 0.404 + 0.092i 0.519 + 0.332i 0.600 + 0.103i 0.367 + 0.205i 0.405 + 0.091i 17.4 0.532 + 0.306i 0.595 + 0.124i 0.369 + 0.203i 0.405 + 0.091i 0.517 + 0.333i 0.600 + 0.102i 0.368 + 0.208i 0.406 + 0.090i 17.5 0.532 + 0.306i 0.595 + 0.124i 0.370 + 0.206i 0.406 + 0.091i 0.517 + 0.334i 0.600 + 0.101i 0.369 + 0.210i 0.407 + 0.089i 17.6 0.532 + 0.306i 0.595 + 0.124i 0.370 + 0.206i 0.406 + 0.091i 0.516 + 0.335i 0.600 + 0.100i 0.369 + 0.211i 0.408 + 0.089i 17.7 0.532 + 0.305i 0.594 + 0.124i 0.370 + 0.208i 0.406 + 0.090i 0.515 + 0.335i 0.600 + 0.099i 0.369 + 0.213i 0.407 + 0.088i 17.8 0.531 + 0.304i 0.593 + 0.124i 0.369 + 0.208i 0.405 + 0.090i 0.514 + 0.335i 0.599 + 0.098i 0.368 + 0.213i 0.406 + 0.087i 17.9 0.429 + 0.284i 0.456 + 0.099i 0.247 + 0.251i 0.269 + 0.085i 0.427 + 0.296i 0.456 + 0.095i 0.248 + 0.256i 0.268 + 0.085i 18 0.428 + 0.283i 0.456 + 0.100i 0.248 + 0.251i 0.269 + 0.084i 0.426 + 0.296i 0.456 + 0.095i 0.248 + 0.255i 0.269 + 0.084i 18.1 0.427 + 0.283i 0.456 + 0.100i 0.249 + 0.250i 0.271 + 0.084i 0.426 + 0.296i 0.457 + 0.095i 0.249 + 0.255i 0.271 + 0.084i 18.2 0.428 + 0.282i 0.458 + 0.100i 0.250 + 0.249i 0.273 + 0.084i 0.426 + 0.296i 0.458 + 0.095i 0.250 + 0.254i 0.273 + 0.084i 18.3 0.428 + 0.281i 0.459 + 0.100i 0.252 + 0.248i 0.274 + 0.084i 0.426 + 0.296i 0.460 + 0.094i 0.252 + 0.252i 0.274 + 0.083i 18.4 0.428 + 0.281i 0.459 + 0.100i 0.253 + 0.248i 0.274 + 0.083i 0.426 + 0.296i 0.460 + 0.093i 0.253 + 0.253i 0.274 + 0.083i 18.5 0.424 + 0.279i 0.447 + 0.101i 0.249 + 0.255i 0.266 + 0.085i 0.417 + 0.304i 0.448 + 0.093i 0.247 + 0.270i 0.266 + 0.085i 18.6 0.424 + 0.278i 0.447 + 0.101i 0.250 + 0.254i 0.267 + 0.085i 0.417 + 0.305i 0.449 + 0.092i 0.248 + 0.270i 0.267 + 0.084i 18.7 0.422 + 0.277i 0.450 + 0.102i 0.251 + 0.247i 0.271 + 0.084i 0.412 + 0.307i 0.451 + 0.091i 0.248 + 0.265i 0.271 + 0.083i 18.8 0.423 + 0.277i 0.451 + 0.103i 0.252 + 0.247i 0.273 + 0.084i 0.413 + 0.308i 0.453 + 0.090i 0.250 + 0.266i 0.273 + 0.082i 18.9 0.424 + 0.276i 0.452 + 0.104i 0.254 + 0.246i 0.274 + 0.084i 0.413 + 0.310i 0.454 + 0.089i 0.251 + 0.267i 0.274 + 0.081i 19 0.425 + 0.275i 0.452 + 0.104i 0.254 + 0.246i 0.274 + 0.084i 0.413 + 0.311i 0.454 + 0.088i 0.251 + 0.267i 0.274 + 0.081i 19.1 0.425 + 0.275i 0.452 + 0.105i 0.254 + 0.246i 0.274 + 0.085i 0.412 + 0.312i 0.455 + 0.088i 0.251 + 0.268i 0.274 + 0.080i 19.2 1.299 + 1.010i 1.580 + 0.150i 0.754 + 0.645i 0.955 + 0.116i 1.026 + 0.886i 1.306 + 0.133i 0.828 + 0.758i 1.092 + 0.119i 19.3 1.298 + 1.007i 1.580 + 0.150i 0.754 + 0.645i 0.954 + 0.115i 1.027 + 0.886i 1.308 + 0.133i 0.833 + 0.759i 1.096 + 0.119i 19.4 1.297 + 1.005i 1.581 + 0.150i 0.756 + 0.646i 0.954 + 0.115i 1.028 + 0.886i 1.310 + 0.133i 0.836 + 0.759i 1.099 + 0.118i 19.5 1.297 + 1.002i 1.581 + 0.150i 0.757 + 0.646i 0.953 + 0.113i 1.030 + 0.886i 1.313 + 0.133i 0.841 + 0.760i 1.103 + 0.118i 19.6 1.297 + 1.000i 1.580 + 0.149i 0.757 + 0.647i 0.953 + 0.113i 1.032 + 0.886i 1.313 + 0.133i 0.845 + 0.760i 1.105 + 0.117i 19.7 1.296 + 0.997i 1.580 + 0.149i 0.758 + 0.648i 0.953 + 0.113i 1.033 + 0.886i 1.314 + 0.132i 0.850 + 0.761i 1.107 + 0.117i 19.8 1.297 + 0.995i 1.579 + 0.149i 0.759 + 0.649i 0.953 + 0.113i 1.036 + 0.886i 1.316 + 0.132i 0.854 + 0.761i 1.110 + 0.117i 19.9 1.297 + 0.993i 1.579 + 0.148i 0.759 + 0.650i 0.953 + 0.112i 1.037 + 0.886i 1.317 + 0.132i 0.858 + 0.761i 1.112 + 0.116i 20 1.297 + 0.990i 1.579 + 0.148i 0.760 + 0.651i 0.954 + 0.112i 1.039 + 0.886i 1.319 + 0.133i 0.862 + 0.762i 1.114 + 0.116i 20.1 1.297 + 0.988i 1.578 + 0.147i 0.761 + 0.652i 0.955 + 0.112i 1.040 + 0.888i 1.319 + 0.132i 0.866 + 0.762i 1.116 + 0.116i 20.2 1.298 + 0.986i 1.579 + 0.147i 0.761 + 0.653i 0.956 + 0.112i 1.042 + 0.888i 1.321 + 0.132i 0.870 + 0.763i 1.118 + 0.116i 20.3 1.298 + 0.984i 1.578 + 0.146i 0.762 + 0.655i 0.957 + 0.112i 1.043 + 0.889i 1.322 + 0.132i 0.874 + 0.764i 1.121 + 0.116i 20.4 1.299 + 0.982i 1.577 + 0.146i 0.763 + 0.656i 0.958 + 0.112i 1.045 + 0.891i 1.323 + 0.132i 0.877 + 0.764i 1.122 + 0.116i 20.5 1.291 + 0.967i 1.571 + 0.144i 0.790 + 0.634i 0.945 + 0.100i 1.039 + 0.877i 1.321 + 0.128i 0.872 + 0.753i 1.120 + 0.108i 20.6 1.290 + 0.965i 1.569 + 0.144i 0.792 + 0.635i 0.945 + 0.100i 1.039 + 0.878i 1.321 + 0.128i 0.873 + 0.755i 1.121 + 0.108i 20.7 1.289 + 0.962i 1.568 + 0.143i 0.795 + 0.634i 0.946 + 0.099i 1.038 + 0.879i 1.321 + 0.128i 0.874 + 0.756i 1.122 + 0.107i 20.8 1.271 + 0.972i 1.582 + 0.150i 0.834 + 0.630i 0.953 + 0.098i 0.995 + 0.902i 1.334 + 0.118i 0.810 + 0.782i 1.130 + 0.102i 20.9 1.268 + 0.972i 1.581 + 0.150i 0.838 + 0.631i 0.954 + 0.097i 0.993 + 0.904i 1.335 + 0.117i 0.808 + 0.785i 1.131 + 0.102i 21 1.266 + 0.970i 1.579 + 0.150i 0.841 + 0.632i 0.956 + 0.097i 0.991 + 0.905i 1.335 + 0.117i 0.806 + 0.787i 1.133 + 0.102i 21.1 1.265 + 0.969i 1.578 + 0.149i 0.846 + 0.633i 0.957 + 0.097i 0.990 + 0.905i 1.335 + 0.116i 0.804 + 0.788i 1.133 + 0.101i 21.2 1.262 + 0.971i 1.577 + 0.149i 0.853 + 0.634i 0.959 + 0.097i 0.985 + 0.903i 1.335 + 0.115i 0.797 + 0.789i 1.134 + 0.101i 21.3 1.259 + 0.972i 1.575 + 0.148i 0.857 + 0.636i 0.961 + 0.097i 0.983 + 0.903i 1.335 + 0.115i 0.795 + 0.790i 1.135 + 0.101i 21.4 1.256 + 0.974i 1.574 + 0.147i 0.862 + 0.637i 0.962 + 0.096i 0.980 + 0.903i 1.335 + 0.115i 0.791 + 0.792i 1.137 + 0.100i 21.5 1.253 + 0.974i 1.572 + 0.147i 0.866 + 0.638i 0.963 + 0.096i 0.980 + 0.903i 1.335 + 0.114i 0.790 + 0.793i 1.137 + 0.100i 21.6 1.250 + 0.975i 1.570 + 0.146i 0.870 + 0.640i 0.964 + 0.096i 0.978 + 0.903i 1.334 + 0.114i 0.788 + 0.794i 1.138 + 0.100i 21.7 1.248 + 0.975i 1.568 + 0.145i 0.874 + 0.641i 0.965 + 0.096i 0.977 + 0.902i 1.334 + 0.113i 0.788 + 0.795i 1.138 + 0.099i 21.8 1.244 + 0.975i 1.566 + 0.145i 0.878 + 0.642i 0.966 + 0.096i 0.976 + 0.902i 1.333 + 0.112i 0.786 + 0.796i 1.139 + 0.099i 21.9 1.240 + 0.977i 1.564 + 0.143i 0.883 + 0.643i 0.967 + 0.095i 0.975 + 0.902i 1.333 + 0.112i 0.786 + 0.796i 1.139 + 0.099i 22 1.235 + 0.978i 1.562 + 0.143i 0.886 + 0.644i 0.969 + 0.095i 0.973 + 0.902i 1.333 + 0.111i 0.785 + 0.797i 1.140 + 0.098i 22.1 1.231 + 0.979i 1.561 + 0.142i 0.890 + 0.645i 0.970 + 0.095i 0.972 + 0.902i 1.332 + 0.111i 0.785 + 0.798i 1.140 + 0.098i 22.2 1.227 + 0.980i 1.559 + 0.141i 0.895 + 0.646i 0.971 + 0.095i 0.972 + 0.902i 1.332 + 0.111i 0.785 + 0.798i 1.141 + 0.098i 22.3 1.221 + 0.982i 1.557 + 0.140i 0.899 + 0.648i 0.973 + 0.095i 0.969 + 0.903i 1.331 + 0.110i 0.783 + 0.798i 1.142 + 0.098i 22.4 1.201 + 0.994i 1.556 + 0.140i 0.907 + 0.649i 0.975 + 0.094i 0.959 + 0.901i 1.332 + 0.110i 0.773 + 0.789i 1.143 + 0.097i 22.5 1.194 + 0.996i 1.555 + 0.139i 0.910 + 0.650i 0.976 + 0.094i 0.956 + 0.902i 1.332 + 0.109i 0.771 + 0.789i 1.144 + 0.097i 22.6 0.333 + 0.340i 0.329 + 0.201i 0.199 + 0.343i 0.195 + 0.204i 0.337 + 0.486i 0.327 + 0.066i 0.200 + 0.488i 0.192 + 0.068i 22.7 0.334 + 0.341i 0.330 + 0.202i 0.199 + 0.344i 0.195 + 0.204i 0.338 + 0.487i 0.327 + 0.066i 0.201 + 0.490i 0.192 + 0.068i 22.8 0.335 + 0.342i 0.330 + 0.202i 0.199 + 0.345i 0.196 + 0.205i 0.339 + 0.488i 0.329 + 0.067i 0.202 + 0.490i 0.194 + 0.068i 22.9 0.336 + 0.343i 0.332 + 0.203i 0.200 + 0.346i 0.197 + 0.205i 0.340 + 0.489i 0.331 + 0.067i 0.202 + 0.492i 0.194 + 0.068i 23 0.337 + 0.343i 0.333 + 0.203i 0.201 + 0.346i 0.197 + 0.205i 0.342 + 0.490i 0.331 + 0.067i 0.203 + 0.492i 0.195 + 0.068i 23.1 0.338 + 0.344i 0.334 + 0.203i 0.202 + 0.347i 0.198 + 0.206i 0.343 + 0.491i 0.333 + 0.067i 0.204 + 0.493i 0.196 + 0.068i 23.2 0.339 + 0.345i 0.336 + 0.204i 0.203 + 0.347i 0.199 + 0.206i 0.344 + 0.492i 0.334 + 0.067i 0.204 + 0.493i 0.197 + 0.068i 23.3 0.339 + 0.346i 0.336 + 0.204i 0.203 + 0.347i 0.200 + 0.206i 0.344 + 0.493i 0.336 + 0.067i 0.204 + 0.494i 0.198 + 0.068i 23.4 0.346 + 0.344i 0.343 + 0.204i 0.207 + 0.342i 0.204 + 0.204i 0.349 + 0.488i 0.343 + 0.067i 0.207 + 0.486i 0.203 + 0.067i 23.5 0.346 + 0.345i 0.344 + 0.204i 0.207 + 0.343i 0.204 + 0.204i 0.349 + 0.489i 0.344 + 0.067i 0.207 + 0.487i 0.204 + 0.068i 23.6 0.347 + 0.346i 0.344 + 0.205i 0.207 + 0.345i 0.205 + 0.205i 0.351 + 0.490i 0.344 + 0.068i 0.208 + 0.488i 0.204 + 0.068i 23.7 0.347 + 0.347i 0.344 + 0.206i 0.207 + 0.346i 0.205 + 0.206i 0.351 + 0.491i 0.344 + 0.068i 0.208 + 0.490i 0.204 + 0.068i 23.8 0.348 + 0.348i 0.345 + 0.206i 0.208 + 0.346i 0.206 + 0.206i 0.352 + 0.492i 0.345 + 0.068i 0.208 + 0.490i 0.204 + 0.068i 23.9 0.348 + 0.349i 0.345 + 0.208i 0.208 + 0.348i 0.205 + 0.208i 0.354 + 0.493i 0.345 + 0.069i 0.209 + 0.493i 0.204 + 0.069i 24 0.349 + 0.349i 0.346 + 0.208i 0.208 + 0.349i 0.206 + 0.208i 0.354 + 0.494i 0.346 + 0.069i 0.209 + 0.493i 0.205 + 0.069i 24.1 0.350 + 0.350i 0.347 + 0.208i 0.209 + 0.349i 0.207 + 0.208i 0.355 + 0.495i 0.347 + 0.069i 0.210 + 0.493i 0.205 + 0.069i 24.2 0.350 + 0.351i 0.347 + 0.209i 0.209 + 0.349i 0.207 + 0.208i 0.356 + 0.496i 0.347 + 0.069i 0.210 + 0.493i 0.206 + 0.069i 24.3 0.351 + 0.351i 0.348 + 0.209i 0.210 + 0.349i 0.207 + 0.208i 0.357 + 0.497i 0.348 + 0.069i 0.212 + 0.493i 0.207 + 0.069i 24.4 0.352 + 0.352i 0.349 + 0.209i 0.210 + 0.349i 0.208 + 0.208i 0.358 + 0.497i 0.349 + 0.069i 0.212 + 0.493i 0.207 + 0.069i 24.5 0.352 + 0.352i 0.349 + 0.209i 0.210 + 0.350i 0.208 + 0.209i 0.359 + 0.498i 0.351 + 0.069i 0.213 + 0.493i 0.209 + 0.069i 24.6 0.353 + 0.353i 0.349 + 0.210i 0.210 + 0.351i 0.208 + 0.209i 0.360 + 0.498i 0.351 + 0.069i 0.214 + 0.494i 0.209 + 0.069i 24.7 0.353 + 0.354i 0.349 + 0.210i 0.210 + 0.351i 0.208 + 0.209i 0.361 + 0.499i 0.351 + 0.069i 0.214 + 0.494i 0.209 + 0.069i 24.8 0.353 + 0.354i 0.350 + 0.210i 0.210 + 0.351i 0.209 + 0.210i 0.361 + 0.499i 0.353 + 0.069i 0.214 + 0.494i 0.210 + 0.069i 24.9 0.354 + 0.354i 0.350 + 0.211i 0.210 + 0.351i 0.209 + 0.210i 0.362 + 0.500i 0.354 + 0.070i 0.215 + 0.494i 0.210 + 0.069i 25 0.354 + 0.355i 0.351 + 0.211i 0.210 + 0.350i 0.210 + 0.209i 0.363 + 0.500i 0.355 + 0.070i 0.215 + 0.494i 0.211 + 0.069i Normalized values SNR a9 a10 a11 a12 a13 a14 a15 a16 10 0.969 + 1.486i 0.340 + 1.742i 0.532 + 0.884i 0.243 + 0.996i 0.802 + 1.214i 0.275 + 1.422i 0.547 + 0.902i 0.243 + 1.017i 10.1 0.970 + 1.487i 0.341 + 1.743i 0.531 + 0.881i 0.241 + 0.993i 0.804 + 1.214i 0.275 + 1.424i 0.546 + 0.899i 0.241 + 1.015i 10.2 0.971 + 1.488i 0.342 + 1.744i 0.530 + 0.878i 0.239 + 0.990i 0.805 + 1.213i 0.274 + 1.425i 0.547 + 0.897i 0.240 + 1.013i 10.3 0.972 + 1.489i 0.343 + 1.746i 0.529 + 0.875i 0.237 + 0.988i 0.807 + 1.213i 0.273 + 1.426i 0.546 + 0.894i 0.238 + 1.011i 10.4 0.973 + 1.490i 0.345 + 1.747i 0.529 + 0.872i 0.235 + 0.985i 0.807 + 1.211i 0.273 + 1.427i 0.547 + 0.891i 0.236 + 1.009i 10.5 0.974 + 1.492i 0.346 + 1.748i 0.529 + 0.870i 0.233 + 0.983i 0.808 + 1.210i 0.273 + 1.427i 0.547 + 0.889i 0.234 + 1.008i 10.6 0.975 + 1.493i 0.347 + 1.750i 0.529 + 0.867i 0.231 + 0.981i 0.809 + 1.209i 0.271 + 1.427i 0.548 + 0.886i 0.231 + 1.007i 10.7 0.975 + 1.495i 0.349 + 1.752i 0.529 + 0.865i 0.230 + 0.979i 0.809 + 1.208i 0.271 + 1.427i 0.548 + 0.885i 0.230 + 1.005i 10.8 0.977 + 1.496i 0.350 + 1.754i 0.529 + 0.862i 0.228 + 0.977i 0.810 + 1.207i 0.270 + 1.427i 0.549 + 0.882i 0.228 + 1.004i 10.9 0.978 + 1.497i 0.352 + 1.755i 0.529 + 0.860i 0.226 + 0.976i 0.810 + 1.205i 0.270 + 1.428i 0.549 + 0.880i 0.226 + 1.003i 11 0.978 + 1.498i 0.352 + 1.756i 0.530 + 0.858i 0.225 + 0.975i 0.811 + 1.204i 0.269 + 1.427i 0.550 + 0.878i 0.224 + 1.003i 11.1 0.979 + 1.499i 0.354 + 1.758i 0.531 + 0.856i 0.223 + 0.974i 0.812 + 1.202i 0.268 + 1.427i 0.552 + 0.876i 0.222 + 1.002i 11.2 0.980 + 1.500i 0.355 + 1.759i 0.531 + 0.853i 0.221 + 0.973i 0.814 + 1.199i 0.264 + 1.426i 0.553 + 0.874i 0.220 + 1.001i 11.3 0.980 + 1.501i 0.356 + 1.760i 0.531 + 0.852i 0.219 + 0.971i 0.820 + 1.193i 0.257 + 1.427i 0.556 + 0.871i 0.216 + 1.001i 11.4 0.982 + 1.504i 0.356 + 1.762i 0.532 + 0.849i 0.217 + 0.970i 0.832 + 1.182i 0.242 + 1.428i 0.559 + 0.867i 0.211 + 1.001i 11.5 0.984 + 1.506i 0.357 + 1.765i 0.531 + 0.847i 0.215 + 0.967i 0.843 + 1.171i 0.227 + 1.430i 0.563 + 0.862i 0.205 + 1.000i 11.6 0.986 + 1.509i 0.357 + 1.768i 0.531 + 0.843i 0.213 + 0.965i 0.852 + 1.163i 0.214 + 1.432i 0.566 + 0.859i 0.201 + 1.000i 11.7 0.990 + 1.511i 0.358 + 1.772i 0.530 + 0.841i 0.211 + 0.963i 0.859 + 1.156i 0.204 + 1.434i 0.569 + 0.856i 0.196 + 1.000i 11.8 0.992 + 1.512i 0.358 + 1.775i 0.530 + 0.838i 0.209 + 0.962i 0.865 + 1.149i 0.196 + 1.435i 0.571 + 0.853i 0.193 + 0.999i 11.9 0.995 + 1.514i 0.359 + 1.777i 0.530 + 0.836i 0.208 + 0.960i 0.870 + 1.144i 0.188 + 1.435i 0.573 + 0.850i 0.190 + 0.998i 12 0.998 + 1.515i 0.360 + 1.780i 0.530 + 0.834i 0.206 + 0.958i 0.875 + 1.139i 0.181 + 1.437i 0.574 + 0.848i 0.187 + 0.998i 12.1 1.000 + 1.516i 0.361 + 1.782i 0.529 + 0.832i 0.204 + 0.957i 0.878 + 1.135i 0.176 + 1.439i 0.576 + 0.845i 0.184 + 0.998i 12.2 1.002 + 1.517i 0.361 + 1.785i 0.530 + 0.830i 0.203 + 0.956i 0.882 + 1.130i 0.170 + 1.440i 0.577 + 0.843i 0.181 + 0.998i 12.3 1.003 + 1.517i 0.362 + 1.786i 0.529 + 0.828i 0.201 + 0.955i 0.884 + 1.127i 0.166 + 1.440i 0.578 + 0.841i 0.179 + 0.997i 12.4 1.004 + 1.518i 0.362 + 1.787i 0.529 + 0.826i 0.199 + 0.954i 0.886 + 1.124i 0.161 + 1.442i 0.579 + 0.840i 0.177 + 0.997i 12.5 1.004 + 1.520i 0.362 + 1.788i 0.529 + 0.825i 0.198 + 0.953i 0.889 + 1.121i 0.158 + 1.442i 0.580 + 0.837i 0.174 + 0.996i 12.6 1.003 + 1.520i 0.362 + 1.789i 0.529 + 0.823i 0.196 + 0.952i 0.889 + 1.119i 0.154 + 1.443i 0.581 + 0.836i 0.172 + 0.996i 12.7 1.002 + 1.521i 0.362 + 1.789i 0.529 + 0.822i 0.195 + 0.951i 0.890 + 1.117i 0.151 + 1.443i 0.582 + 0.835i 0.170 + 0.995i 12.8 0.863 + 1.544i 0.312 + 1.752i 0.524 + 0.813i 0.186 + 0.927i 0.829 + 1.112i 0.154 + 1.397i 0.578 + 0.837i 0.168 + 0.964i 12.9 0.856 + 1.547i 0.308 + 1.751i 0.519 + 0.813i 0.184 + 0.924i 0.826 + 1.113i 0.151 + 1.395i 0.573 + 0.838i 0.166 + 0.962i 13 0.850 + 1.551i 0.304 + 1.749i 0.513 + 0.813i 0.181 + 0.921i 0.821 + 1.114i 0.148 + 1.391i 0.567 + 0.838i 0.164 + 0.959i 13.1 0.847 + 1.553i 0.303 + 1.748i 0.510 + 0.813i 0.179 + 0.920i 0.820 + 1.113i 0.144 + 1.391i 0.564 + 0.838i 0.161 + 0.958i 13.2 0.842 + 1.555i 0.301 + 1.748i 0.506 + 0.812i 0.177 + 0.918i 0.817 + 1.113i 0.141 + 1.391i 0.559 + 0.838i 0.159 + 0.956i 13.3 0.841 + 1.556i 0.302 + 1.747i 0.506 + 0.812i 0.176 + 0.917i 0.818 + 1.111i 0.138 + 1.394i 0.558 + 0.837i 0.158 + 0.955i 13.4 0.837 + 1.556i 0.304 + 1.747i 0.502 + 0.811i 0.173 + 0.916i 0.818 + 1.110i 0.135 + 1.399i 0.555 + 0.836i 0.156 + 0.953i 13.5 0.833 + 1.555i 0.306 + 1.747i 0.501 + 0.810i 0.172 + 0.915i 0.816 + 1.109i 0.133 + 1.406i 0.553 + 0.835i 0.154 + 0.951i 13.6 0.831 + 1.552i 0.314 + 1.748i 0.500 + 0.809i 0.170 + 0.914i 0.817 + 1.108i 0.131 + 1.421i 0.551 + 0.833i 0.152 + 0.948i 13.7 0.735 + 1.301i 0.633 + 1.698i 0.480 + 0.811i 0.145 + 0.870i 0.729 + 1.116i 0.215 + 1.767i 0.515 + 0.832i 0.143 + 0.870i 13.8 0.735 + 1.305i 0.631 + 1.697i 0.480 + 0.809i 0.143 + 0.869i 0.729 + 1.115i 0.214 + 1.765i 0.515 + 0.832i 0.141 + 0.869i 13.9 0.733 + 1.308i 0.630 + 1.697i 0.480 + 0.808i 0.142 + 0.866i 0.728 + 1.116i 0.213 + 1.761i 0.515 + 0.832i 0.139 + 0.866i 14 0.733 + 1.311i 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0.208i 0.128 + 0.227i 0.329 + 0.534i 0.132 + 0.552i 15.3 0.166 + 0.202i 0.129 + 0.224i 0.336 + 0.543i 0.133 + 0.553i 0.166 + 0.208i 0.129 + 0.229i 0.328 + 0.533i 0.132 + 0.549i 15.4 0.168 + 0.203i 0.129 + 0.226i 0.336 + 0.542i 0.133 + 0.550i 0.168 + 0.209i 0.129 + 0.231i 0.329 + 0.531i 0.131 + 0.547i 15.5 0.525 + 0.807i 0.275 + 0.934i 0.812 + 1.473i 0.500 + 1.612i 0.618 + 0.735i 0.138 + 0.964i 1.080 + 1.290i 0.173 + 1.674i 15.6 0.520 + 0.808i 0.274 + 0.929i 0.803 + 1.473i 0.493 + 1.609i 0.617 + 0.734i 0.136 + 0.959i 1.072 + 1.294i 0.170 + 1.667i 15.7 0.516 + 0.808i 0.273 + 0.924i 0.796 + 1.474i 0.487 + 1.607i 0.616 + 0.733i 0.133 + 0.954i 1.065 + 1.297i 0.167 + 1.661i 15.8 0.512 + 0.809i 0.272 + 0.921i 0.788 + 1.473i 0.483 + 1.604i 0.615 + 0.733i 0.131 + 0.951i 1.059 + 1.301i 0.165 + 1.657i 15.9 0.509 + 0.810i 0.273 + 0.918i 0.784 + 1.472i 0.479 + 1.602i 0.615 + 0.733i 0.129 + 0.948i 1.056 + 1.302i 0.164 + 1.653i 16 0.506 + 0.811i 0.274 + 0.915i 0.780 + 1.473i 0.474 + 1.600i 0.615 + 0.732i 0.127 + 0.945i 1.052 + 1.304i 0.162 + 1.648i 16.1 0.503 + 0.811i 0.275 + 0.913i 0.777 + 1.472i 0.473 + 1.597i 0.615 + 0.731i 0.126 + 0.943i 1.050 + 1.304i 0.162 + 1.646i 16.2 0.500 + 0.812i 0.275 + 0.911i 0.776 + 1.470i 0.472 + 1.596i 0.615 + 0.731i 0.123 + 0.942i 1.049 + 1.303i 0.161 + 1.643i 16.3 0.498 + 0.813i 0.277 + 0.910i 0.776 + 1.469i 0.473 + 1.595i 0.615 + 0.730i 0.122 + 0.942i 1.048 + 1.301i 0.161 + 1.643i 16.4 0.495 + 0.815i 0.277 + 0.909i 0.775 + 1.467i 0.472 + 1.593i 0.615 + 0.729i 0.120 + 0.941i 1.048 + 1.300i 0.161 + 1.642i 16.5 0.493 + 0.815i 0.278 + 0.908i 0.775 + 1.466i 0.472 + 1.592i 0.615 + 0.729i 0.118 + 0.940i 1.048 + 1.298i 0.161 + 1.641i 16.6 0.490 + 0.816i 0.279 + 0.908i 0.776 + 1.464i 0.474 + 1.591i 0.614 + 0.728i 0.117 + 0.941i 1.049 + 1.296i 0.162 + 1.641i 16.7 0.488 + 0.817i 0.279 + 0.907i 0.777 + 1.462i 0.475 + 1.589i 0.614 + 0.728i 0.116 + 0.940i 1.050 + 1.293i 0.162 + 1.641i 16.8 0.485 + 0.819i 0.280 + 0.908i 0.779 + 1.461i 0.476 + 1.588i 0.613 + 0.729i 0.114 + 0.941i 1.050 + 1.290i 0.163 + 1.642i 16.9 0.483 + 0.820i 0.280 + 0.908i 0.781 + 1.460i 0.479 + 1.587i 0.613 + 0.729i 0.112 + 0.942i 1.052 + 1.287i 0.164 + 1.643i 17 0.481 + 0.821i 0.281 + 0.908i 0.783 + 1.457i 0.481 + 1.586i 0.613 + 0.727i 0.111 + 0.943i 1.053 + 1.284i 0.164 + 1.644i 17.1 0.480 + 0.823i 0.283 + 0.910i 0.786 + 1.455i 0.484 + 1.585i 0.614 + 0.727i 0.110 + 0.946i 1.055 + 1.280i 0.166 + 1.645i 17.2 0.478 + 0.824i 0.284 + 0.910i 0.785 + 1.453i 0.484 + 1.583i 0.614 + 0.726i 0.108 + 0.947i 1.055 + 1.279i 0.166 + 1.644i 17.3 0.478 + 0.824i 0.285 + 0.910i 0.786 + 1.452i 0.485 + 1.581i 0.615 + 0.725i 0.107 + 0.948i 1.055 + 1.276i 0.166 + 1.644i 17.4 0.476 + 0.825i 0.286 + 0.910i 0.787 + 1.450i 0.486 + 1.579i 0.616 + 0.724i 0.106 + 0.948i 1.055 + 1.274i 0.166 + 1.643i 17.5 0.476 + 0.826i 0.287 + 0.910i 0.786 + 1.449i 0.485 + 1.577i 0.617 + 0.724i 0.106 + 0.949i 1.055 + 1.272i 0.166 + 1.641i 17.6 0.476 + 0.826i 0.289 + 0.909i 0.786 + 1.447i 0.486 + 1.575i 0.618 + 0.722i 0.105 + 0.950i 1.054 + 1.271i 0.166 + 1.640i 17.7 0.476 + 0.826i 0.291 + 0.910i 0.786 + 1.445i 0.486 + 1.573i 0.620 + 0.721i 0.104 + 0.950i 1.055 + 1.269i 0.165 + 1.639i 17.8 0.477 + 0.826i 0.293 + 0.910i 0.786 + 1.443i 0.486 + 1.571i 0.621 + 0.720i 0.103 + 0.952i 1.054 + 1.267i 0.165 + 1.637i 17.9 0.583 + 0.730i 0.461 + 0.875i 0.988 + 1.303i 0.717 + 1.470i 0.664 + 0.626i 0.117 + 1.522i 1.234 + 1.091i 0.407 + 1.607i 18 0.578 + 0.730i 0.461 + 0.865i 0.990 + 1.299i 0.720 + 1.463i 0.662 + 0.626i 0.122 + 1.539i 1.233 + 1.087i 0.419 + 1.602i 18.1 0.574 + 0.732i 0.459 + 0.860i 0.988 + 1.296i 0.721 + 1.459i 0.661 + 0.625i 0.124 + 1.546i 1.231 + 1.084i 0.424 + 1.601i 18.2 0.570 + 0.733i 0.457 + 0.855i 0.988 + 1.292i 0.723 + 1.456i 0.660 + 0.625i 0.126 + 1.552i 1.228 + 1.082i 0.427 + 1.600i 18.3 0.566 + 0.734i 0.454 + 0.851i 0.987 + 1.290i 0.724 + 1.454i 0.659 + 0.524i 0.127 + 1.555i 1.225 + 1.080i 0.430 + 1.600i 18.4 0.565 + 0.735i 0.454 + 0.849i 0.986 + 1.289i 0.723 + 1.452i 0.659 + 0.623i 0.127 + 1.555i 1.224 + 1.078i 0.430 + 1.598i 18.5 0.595 + 0.730i 0.463 + 0.891i 1.007 + 1.278i 0.738 + 1.438i 0.673 + 0.611i 0.138 + 1.564i 1.242 + 1.058i 0.444 + 1.571i 18.6 0.593 + 0.732i 0.464 + 0.890i 1.009 + 1.275i 0.740 + 1.436i 0.672 + 0.511i 0.139 + 1.565i 1.242 + 1.054i 0.446 + 1.569i 18.7 0.577 + 0.733i 0.466 + 0.873i 1.016 + 1.265i 0.752 + 1.427i 0.659 + 0.612i 0.151 + 1.600i 1.243 + 1.042i 0.465 + 1.568i 18.8 0.574 + 0.737i 0.463 + 0.875i 1.016 + 1.261i 0.754 + 1.424i 0.658 + 0.614i 0.153 + 1.606i 1.241 + 1.039i 0.468 + 1.567i 18.9 0.573 + 0.739i 0.463 + 0.875i 1.016 + 1.260i 0.754 + 1.423i 0.658 + 0.614i 0.153 + 1.606i 1.239 + 1.037i 0.468 + 1.566i 19 0.572 + 0.740i 0.462 + 0.876i 1.016 + 1.257i 0.756 + 1.421i 0.658 + 0.614i 0.154 + 1.607i 1.238 + 1.034i 0.470 + 1.566i 19.1 0.572 + 0.742i 0.462 + 0.877i 1.015 + 1.256i 0.756 + 1.420i 0.659 + 0.615i 0.154 + 1.606i 1.237 + 1.033i 0.470 + 1.565i 19.2 0.235 + 0.324i 0.081 + 0.342i 0.267 + 0.515i 0.105 + 0.544i 0.242 + 0.330i 0.077 + 0.341i 0.305 + 0.503i 0.085 + 0.547i 19.3 0.234 + 0.324i 0.080 + 0.342i 0.267 + 0.515i 0.106 + 0.544i 0.243 + 0.330i 0.077 + 0.341i 0.306 + 0.503i 0.085 + 0.548i 19.4 0.234 + 0.324i 0.080 + 0.341i 0.266 + 0.516i 0.106 + 0.544i 0.243 + 0.330i 0.077 + 0.341i 0.307 + 0.503i 0.084 + 0.547i 19.5 0.234 + 0.323i 0.080 + 0.341i 0.265 + 0.517i 0.107 + 0.544i 0.243 + 0.330i 0.076 + 0.341i 0.307 + 0.502i 0.082 + 0.547i 19.6 0.234 + 0.323i 0.080 + 0.340i 0.264 + 0.518i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.307 + 0.502i 0.082 + 0.547i 19.7 0.234 + 0.322i 0.080 + 0.339i 0.263 + 0.518i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.308 + 0.502i 0.081 + 0.547i 19.8 0.234 + 0.321i 0.080 + 0.338i 0.262 + 0.519i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.309 + 0.502i 0.080 + 0.547i 19.9 0.233 + 0.320i 0.080 + 0.338i 0.262 + 0.519i 0.108 + 0.543i 0.242 + 0.330i 0.076 + 0.340i 0.310 + 0.501i 0.079 + 0.546i 20 0.233 + 0.320i 0.080 + 0.337i 0.262 + 0.520i 0.109 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.311 + 0.501i 0.079 + 0.547i 20.1 0.233 + 0.319i 0.080 + 0.336i 0.261 + 0.520i 0.110 + 0.544i 0.243 + 0.330i 0.075 + 0.340i 0.312 + 0.500i 0.078 + 0.546i 20.2 0.233 + 0.318i 0.081 + 0.336i 0.262 + 0.520i 0.111 + 0.543i 0.243 + 0.330i 0.075 + 0.341i 0.314 + 0.500i 0.077 + 0.546i 20.3 0.234 + 0.317i 0.081 + 0.334i 0.262 + 0.521i 0.112 + 0.543i 0.245 + 0.331i 0.076 + 0.342i 0.315 + 0.499i 0.076 + 0.545i 20.4 0.234 + 0.315i 0.081 + 0.332i 0.262 + 0.522i 0.116 + 0.546i 0.246 + 0.333i 0.076 + 0.347i 0.317 + 0.498i 0.075 + 0.544i 20.5 0.235 + 0.337i 0.097 + 0.384i 0.289 + 0.566i 0.165 + 0.600i 0.294 + 0.394i 0.076 + 0.445i 0.359 + 0.510i 0.075 + 0.594i 20.6 0.236 + 0.338i 0.099 + 0.387i 0.291 + 0.568i 0.168 + 0.602i 0.299 + 0.396i 0.076 + 0.449i 0.362 + 0.510i 0.075 + 0.597i 20.7 0.237 + 0.340i 0.101 + 0.391i 0.291 + 0.569i 0.171 + 0.602i 0.304 + 0.398i 0.075 + 0.453i 0.366 + 0.510i 0.074 + 0.599i 20.8 0.246 + 0.344i 0.115 + 0.396i 0.299 + 0.563i 0.183 + 0.591i 0.334 + 0.398i 0.069 + 0.456i 0.391 + 0.507i 0.074 + 0.596i 20.9 0.248 + 0.345i 0.119 + 0.397i 0.299 + 0.562i 0.184 + 0.588i 0.341 + 0.398i 0.067 + 0.457i 0.395 + 0.507i 0.074 + 0.596i 21 0.249 + 0.346i 0.121 + 0.398i 0.299 + 0.561i 0.186 + 0.587i 0.347 + 0.399i 0.065 + 0.458i 0.399 + 0.507i 0.073 + 0.597i 21.1 0.250 + 0.348i 0.124 + 0.399i 0.300 + 0.561i 0.188 + 0.586i 0.351 + 0.400i 0.064 + 0.459i 0.402 + 0.507i 0.073 + 0.597i 21.2 0.253 + 0.349i 0.127 + 0.400i 0.300 + 0.560i 0.189 + 0.584i 0.359 + 0.400i 0.062 + 0.459i 0.408 + 0.507i 0.072 + 0.597i 21.3 0.254 + 0.350i 0.130 + 0.401i 0.300 + 0.559i 0.190 + 0.583i 0.363 + 0.401i 0.061 + 0.459i 0.411 + 0.508i 0.071 + 0.598i 21.4 0.255 + 0.351i 0.132 + 0.402i 0.301 + 0.559i 0.191 + 0.582i 0.367 + 0.402i 0.060 + 0.460i 0.415 + 0.508i 0.071 + 0.598i 21.5 0.256 + 0.352i 0.134 + 0.403i 0.301 + 0.559i 0.192 + 0.581i 0.369 + 0.403i 0.060 + 0.460i 0.417 + 0.509i 0.071 + 0.599i 21.6 0.258 + 0.353i 0.136 + 0.404i 0.302 + 0.559i 0.192 + 0.580i 0.373 + 0.403i 0.059 + 0.460i 0.421 + 0.510i 0.070 + 0.598i 21.7 0.259 + 0.354i 0.138 + 0.405i 0.302 + 0.559i 0.193 + 0.580i 0.375 + 0.404i 0.058 + 0.460i 0.423 + 0.511i 0.070 + 0.599i 21.8 0.260 + 0.355i 0.140 + 0.406i 0.303 + 0.559i 0.193 + 0.579i 0.379 + 0.405i 0.057 + 0.460i 0.426 + 0.512i 0.070 + 0.600i 21.9 0.261 + 0.356i 0.142 + 0.407i 0.303 + 0.559i 0.193 + 0.579i 0.380 + 0.406i 0.057 + 0.460i 0.428 + 0.513i 0.070 + 0.600i 22 0.263 + 0.358i 0.144 + 0.408i 0.304 + 0.559i 0.194 + 0.579i 0.384 + 0.407i 0.057 + 0.460i 0.431 + 0.514i 0.070 + 0.600i 22.1 0.264 + 0.358i 0.145 + 0.408i 0.304 + 0.559i 0.194 + 0.579i 0.386 + 0.408i 0.056 + 0.460i 0.433 + 0.515i 0.070 + 0.601i 22.2 0.265 + 0.359i 0.147 + 0.409i 0.306 + 0.559i 0.195 + 0.578i 0.388 + 0.408i 0.056 + 0.459i 0.437 + 0.516i 0.069 + 0.601i 22.3 0.266 + 0.361i 0.149 + 0.409i 0.307 + 0.559i 0.195 + 0.578i 0.390 + 0.409i 0.056 + 0.459i 0.439 + 0.517i 0.069 + 0.601i 22.4 0.270 + 0.363i 0.151 + 0.409i 0.310 + 0.558i 0.196 + 0.575i 0.396 + 0.410i 0.055 + 0.457i 0.451 + 0.519i 0.069 + 0.599i 22.5 0.271 + 0.363i 0.153 + 0.410i 0.311 + 0.558i 0.196 + 0.575i 0.397 + 0.411i 0.055 + 0.456i 0.453 + 0.520i 0.069 + 0.599i 22.6 0.657 + 0.796i 0.681 + 0.968i 1.439 + 0.592i 1.279 + 0.792i 0.641 + 0.636i 0.502 + 1.245i 1.219 + 0.516i 1.198 + 1.044i 22.7 0.658 + 0.797i 0.682 + 0.968i 1.438 + 0.590i 1.278 + 0.790i 0.644 + 0.637i 0.501 + 1.243i 1.219 + 0.516i 1.197 + 1.043i 22.8 0.661 + 0.798i 0.685 + 0.969i 1.434 + 0.589i 1.277 + 0.789i 0.645 + 0.638i 0.499 + 1.242i 1.217 + 0.515i 1.195 + 1.042i 22.9 0.662 + 0.798i 0.687 + 0.969i 1.432 + 0.587i 1.276 + 0.787i 0.647 + 0.639i 0.497 + 1.241i 1.216 + 0.514i 1.194 + 1.041i 23 0.664 + 0.799i 0.688 + 0.970i 1.429 + 0.586i 1.276 + 0.785i 0.649 + 0.641i 0.496 + 1.240i 1.215 + 0.514i 1.193 + 1.040i 23.1 0.666 + 0.800i 0.691 + 0.971i 1.428 + 0.582i 1.276 + 0.782i 0.651 + 0.642i 0.495 + 1.238i 1.215 + 0.512i 1.194 + 1.037i 23.2 0.667 + 0.802i 0.693 + 0.972i 1.426 + 0.578i 1.276 + 0.780i 0.652 + 0.643i 0.494 + 1.236i 1.214 + 0.511i 1.194 + 1.035i 23.3 0.668 + 0.804i 0.695 + 0.975i 1.423 + 0.575i 1.275 + 0.777i 0.654 + 0.646i 0.493 + 1.234i 1.212 + 0.509i 1.195 + 1.032i 23.4 0.671 + 0.817i 0.682 + 0.991i 1.456 + 0.466i 1.312 + 0.665i 0.663 + 0.656i 0.453 + 1.213i 1.225 + 0.445i 1.275 + 0.887i 23.5 0.673 + 0.819i 0.684 + 0.993i 1.452 + 0.465i 1.306 + 0.660i 0.665 + 0.658i 0.451 + 1.211i 1.223 + 0.441i 1.274 + 0.881i 23.6 0.676 + 0.819i 0.685 + 0.993i 1.449 + 0.466i 1.302 + 0.657i 0.667 + 0.659i 0.449 + 1.210i 1.222 + 0.439i 1.273 + 0.876i 23.7 0.677 + 0.821i 0.687 + 0.994i 1.445 + 0.467i 1.297 + 0.655i 0.668 + 0.660i 0.448 + 1.207i 1.221 + 0.438i 1.272 + 0.872i 23.8 0.679 + 0.822i 0.689 + 0.995i 1.441 + 0.466i 1.294 + 0.653i 0.670 + 0.661i 0.447 + 1.207i 1.219 + 0.437i 1.270 + 0.869i 23.9 0.681 + 0.823i 0.691 + 0.996i 1.437 + 0.466i 1.290 + 0.651i 0.671 + 0.662i 0.447 + 1.206i 1.217 + 0.436i 1.269 + 0.866i 24 0.683 + 0.824i 0.693 + 0.997i 1.434 + 0.466i 1.288 + 0.649i 0.672 + 0.663i 0.446 + 1.205i 1.215 + 0.435i 1.267 + 0.862i 24.1 0.685 + 0.826i 0.695 + 0.998i 1.431 + 0.465i 1.285 + 0.646i 0.674 + 0.665i 0.446 + 1.203i 1.214 + 0.434i 1.268 + 0.858i 24.2 0.688 + 0.828i 0.697 + 1.000i 1.429 + 0.465i 1.283 + 0.645i 0.676 + 0.666i 0.445 + 1.203i 1.212 + 0.433i 1.267 + 0.856i 24.3 0.690 + 0.844i 0.717 + 1.030i 1.424 + 0.461i 1.279 + 0.637i 0.678 + 0.676i 0.433 + 1.204i 1.207 + 0.430i 1.281 + 0.845i 24.4 0.693 + 0.847i 0.720 + 1.034i 1.421 + 0.460i 1.277 + 0.634i 0.680 + 0.678i 0.431 + 1.202i 1.205 + 0.429i 1.282 + 0.840i 24.5 0.694 + 0.849i 0.722 + 1.037i 1.418 + 0.461i 1.274 + 0.634i 0.681 + 0.680i 0.430 + 1.201i 1.204 + 0.429i 1.280 + 0.839i 24.6 0.695 + 0.850i 0.722 + 1.038i 1.415 + 0.462i 1.271 + 0.633i 0.682 + 0.681i 0.428 + 1.199i 1.203 + 0.428i 1.279 + 0.836i 24.7 0.697 + 0.852i 0.724 + 1.039i 1.413 + 0.462i 1.269 + 0.631i 0.684 + 0.682i 0.428 + 1.197i 1.202 + 0.428i 1.277 + 0.833i 24.8 0.698 + 0.853i 0.725 + 1.040i 1.410 + 0.462i 1.266 + 0.631i 0.684 + 0.683i 0.429 + 1.196i 1.201 + 0.428i 1.276 + 0.831i 24.9 0.699 + 0.854i 0.726 + 1.040i 1.407 + 0.463i 1.265 + 0.630i 0.686 + 0.684i 0.428 + 1.196i 1.199 + 0.428i 1.274 + 0.829i 25 0.700 + 0.855i 0.726 + 1.041i 1.405 + 0.463i 1.262 + 0.629i 0.686 + 0.685i 0.428 + 1.195i 1.198 + 0.427i 1.273 + 0.827i

Annex to the Description—Annex 1b

16NUQAM SNR L1 L2 4 1 2.839885 4.1 1 2.893707 4.2 1 2.947556 4.3 1 2.999997 4.4 1 3.051775 4.5 1 3.102185 4.6 1 3.15186 4.7 1 3.199446 4.8 1 3.246374 4.9 1 3.291983 5 1 3.336053 5.1 1 3.378123 5.2 1 3.418789 5.3 1 3.457634 5.4 1 3.494374 5.5 1 3.529293 5.6 1 3.562092 5.7 1 3.592767 5.8 1 3.62144 5.9 1 3.647331 6 1 3.671139 6.1 1 3.692771 6.2 1 3.711765 6.3 1 3.727773 6.4 1 3.741562 6.5 1 3.753443 6.6 1 3.762235 6.7 1 3.768439 6.8 1 3.77272 6.9 1 3.774647 7 1 3.773951 7.1 1 3.77135 7.2 1 3.767057 7.3 1 3.760857 7.4 1 3.752584 7.5 1 3.743116 7.6 1 3.732592 7.7 1 3.720692 7.8 1 3.707042 7.9 1 3.69362 8 1 3.678595 8.1 1 3.663756 8.2 1 3.647761 8.3 1 3.631964 8.4 1 3.615282 8.5 1 3.598823 8.6 1 3.582573 8.7 1 3.565892 8.8 1 3.55006 8.9 1 3.5338 9 1 3.517746 9.1 1 3.502524 9.2 1 3.487487 9.3 1 3.472631 9.4 1 3.45797 9.5 1 3.443485 9.6 1 3.430061 9.7 1 3.41677 9.8 1 3.403622 9.9 1 3.391227 10 1 3.378963 10.1 1 3.367421 10.2 1 3.355998 10.3 1 3.345294 10.4 1 3.334305 10.5 1 3.324627 10.6 1 3.314486 10.7 1 3.304843 10.8 1 3.295784 10.9 1 3.287364 11 1 3.278865 11.1 1 3.270628 11.2 1 3.262403 11.3 1 3.254759 11.4 1 3.247699 11.5 1 3.240646 11.6 1 3.233605 11.7 1 3.227272 11.8 1 3.220939 11.9 1 3.214612 12 1 3.208285 12.1 1 3.202533 12.2 1 3.197353 12.3 1 3.191598 12.4 1 3.186426 12.5 1 3.181815 12.6 1 3.176644 12.7 1 3.172139 12.8 1 3.167631 12.9 1 3.163111 13 1 3.158592 13.1 1 3.154649 13.2 1 3.150688 13.3 1 3.146739 13.4 1 3.142772 13.5 1 3.138807 13.6 1 3.135416 13.7 1 3.132018 13.8 1 3.128616 13.9 1 3.125221 14 1 3.122455 14.1 1 3.119049 14.2 1 3.116279 14.3 1 3.113504 14.4 1 3.110719 14.5 1 3.107929 14.6 1 3.104898 14.7 1 3.102507 14.8 1 3.10012 14.9 1 3.097736 15 1 3.095345

64NUQAM SNR l1 l2 l3 l4 4 1 1 2.839885 2.839885 5 1 1 3.333799 3.333799 6 1 1 3.673272 3.673272 7 1 1 3.772273 3.786417 8 1 1.191385 3.567779 4.620412 9 1 1.420475 3.669097 5.36928 10 1 1.712789 3.997906 6.241096 11 1 2.079134 4.429257 7.139089 12 1 2.511934 4.87267 7.976119 13 1 2.764698 5.145644 8.394934 14 1 3.017794 5.480702 8.804139 15 1 3.047482 5.480719 8.655799 16 1 3.106828 5.510392 8.537099 17 1 3.046101 5.351575 8.118142 18 1 3.016799 5.229677 7.806698 19 1 3.072838 5.257719 7.750716 20 1 3.072822 5.257695 7.666657 21 1 3.016336 5.114428 7.403244 22 1 3.016351 5.114446 7.348773 23 1 3.016337 5.087177 7.267007 24 1 3.016341 5.087182 7.239767

256 NUQAM SNR l1 l2 l3 l4 l5 l6 l7 l8 7 1 1 1 1 3.759495 3.759495 3.759495 3.759495 8 1 0.865981 0.752579 0.865981 3 4.422682 3 2.69072 9 1 0.823528 0.686273 0.823528 2.823528 4.401956 2.823528 2.558823 10 1 1.12848 1.578161 1.385441 3.91221 3.869383 4.661674 6.803007 11 1 1.023423 1.843092 1.772836 3.997663 4.231856 5.730687 7.651065 12 1 0.974163 2.188638 2.188638 4.281664 4.669262 6.555574 8.622762 13 1 0.971184 2.556198 2.613837 4.659952 5.2075 7.39771 9.818462 14 1 0.969417 2.773689 2.865438 4.853198 5.495397 7.850127 10.54125 15 1 1 2.954397 3.117258 5.169379 5.885988 8.361555 11.26058 16 1 1 2.954403 3.182412 5.169383 5.98372 8.361572 11.22802 17 1 1.13937 3.125436 3.508715 5.49478 6.574918 8.944254 11.90593 18 1 1.299621 3.209728 3.883887 5.793994 7.292119 9.614208 12.61046 19 1 2.014496 3.995172 5.444447 7.521745 9.695663 12.4493 16.02418 20 1 2.63841 4.672306 6.593206 8.909592 11.45195 14.5593 18.45759 21 1 2.916187 4.952133 7.107824 9.503049 12.25757 15.43123 19.26359 22 1 2.916143 4.952058 7.10773 9.502917 12.13763 15.13162 18.66453 23 1 3.035904 5.071823 7.227493 9.562818 12.13764 14.952 18.24539 24 1 3.035928 5.131725 7.347292 9.682613 12.1377 14.83232 17.88619 25 1 3.095825 5.25153 7.407236 9.682704 12.1378 14.77255 17.7067 26 1 3.095796 5.251469 7.407143 9.682587 12.07779 14.59274 17.34722 27 1 3.095806 5.251487 7.467059 9.68263 12.01797 14.47305 17.10778

1024 NUQAM SNR l1 l2 l3 l4 l5 l6 l7 l8 l9 11 1 1 1.027778 1.027778 1.833333 1.833333 1.777778 1.777778 3.972222 12 1 1 1 1 2.25 2.25 2.25 2.25 4.375 13 1 1 0.966667 0.966667 2.5 2.5 2.533333 2.533333 4.6 14 1 1 0.964286 0.964286 2.714286 2.714286 2.785714 2.785714 4.821429 15 1 1 1 1 2.923077 2.923077 3.038462 3.038462 5.115385 16 1 1 1 1 2.884615 2.923077 3.076923 3.076923 5.115385 17 1 1 1.04 1.04 3 3.04 3.32 3.28 5.32 18 1 1 1.217391 1.217391 3.130435 3.130435 3.695652 3.695652 5.608696 19 1 1 1.55 1.55 3.5 3.5 4.5 4.5 6.45 20 1 1 2.466667 2.466667 4.533333 4.533333 6.266667 6.266667 8.533333 21 1 1 2.785714 2.785714 4.857143 4.857143 6.857143 6.928571 9.142857 22 1 1 3.076923 3.076923 5.230769 5.230769 7.384615 7.461538 9.692308 23 1 1 3.076923 3.076923 5.153846 5.230769 7.307692 7.538462 9.538462 24 1 1 3 3.076923 5 5.230769 7.076923 7.692308 9.384615 25 1 1.166667 3.083333 3.333333 5.166667 5.75 7.416667 8.5 10.08333 26 1 2.375 4.25 5.75 7.75 9.375 11.375 13.375 15.5 27 1 2.857143 4.857143 6.857143 8.857143 10.85714 13 15.28571 17.71429 28 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 29 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 30 1 2.857143 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 31 1 3 4.857143 6.857143 8.857143 11 13.28571 15.71429 18.14286 SNR l10 l11 l12 l13 l14 l15 l16 11 4.111111 4.277778 4.138889 5.916667 5.805556 6.5 8.638889 12 4.5 4.75 4.59375 6.875 6.78125 7.4375 9.8125 13 4.633333 5.033333 4.966667 7.1 7.333333 8.466667 10.7 14 4.821429 5.357143 5.357143 7.464286 7.857143 9.464286 11.71429 15 5.076923 5.692308 5.769231 7.923077 8.423077 10.34615 12.80769 16 5.038462 5.692308 5.846154 7.884615 8.423077 10.5 13.03846 17 5.24 6.04 6.28 8.24 8.84 11.04 13.68 18 5.608696 6.826087 7.086957 8.956522 9.695652 11.95652 14.69565 19 6.45 8.1 8.4 10.35 11.35 13.75 16.75 20 8.6 10.8 11.33333 13.73333 15.26667 18.2 21.93333 21 9.357143 11.57143 12.35714 14.64286 16.64286 19.5 23.21429 22 10.07692 12.23077 13.38462 15.69231 18.07692 21 24.69231 23 10.23077 12.15385 13.69231 15.76923 18.15385 20.92308 24.38462 24 10.53846 12.23077 13.92308 15.92308 18.23077 20.92308 24.15385 25 11.58333 13.33333 15.25 17.33333 19.75 22.41667 25.58333 26 17.75 20.25 23 26.125 29.5 33.25 37.625 27 20.42857 23.28571 26.42857 29.71429 33.42857 37.42857 42 28 20.71429 23.42857 26.42857 29.71429 33.14286 36.85714 41.14286 29 20.71429 23.42857 26.42857 29.57143 32.85714 36.28571 40.14286 30 20.71429 23.42857 26.14286 29 32 35.14286 38.71429 31 20.71429 23.42857 26.14286 28.85714 31.71429 34.71429 38

Annex to the Description—Annex 2b

16 NUC Normalized values SNR a1 a2 a3 a4 4 0.531 + 1.193i 0.284 + 0.462i 1.193 + 0.530i 0.462 + 0.284i 4.1 0.529 + 1.195i 0.282 + 0.460i 1.195 + 0.529i 0.460 + 0.282i 4.2 0.528 + 1.197i 0.280 + 0.458i 1.197 + 0.527i 0.458 + 0.280i 4.3 0.526 + 1.199i 0.278 + 0.457i 1.199 + 0.526i 0.457 + 0.278i 4.4 0.525 + 1.201i 0.276 + 0.455i 1.201 + 0.524i 0.455 + 0.276i 4.5 0.523 + 1.202i 0.275 + 0.454i 1.202 + 0.523i 0.454 + 0.275i 4.6 0.522 + 1.203i 0.274 + 0.453i 1.203 + 0.522i 0.454 + 0.274i 4.7 0.521 + 1.204i 0.272 + 0.453i 1.204 + 0.520i 0.453 + 0.272i 4.8 0.519 + 1.205i 0.271 + 0.452i 1.205 + 0.519i 0.452 + 0.271i 4.9 0.518 + 1.206i 0.270 + 0.452i 1.206 + 0.518i 0.452 + 0.270i 5 0.517 + 1.207i 0.269 + 0.451i 1.207 + 0.516i 0.451 + 0.269i 5.1 0.516 + 1.208i 0.269 + 0.451i 1.208 + 0.515i 0.451 + 0.269i 5.2 0.514 + 1.208i 0.268 + 0.451i 1.208 + 0.514i 0.452 + 0.268i 5.3 0.513 + 1.209i 0.267 + 0.452i 1.209 + 0.513i 0.452 + 0.267i 5.4 0.512 + 1.209i 0.267 + 0.452i 1.209 + 0.512i 0.452 + 0.267i 5.5 0.511 + 1.210i 0.266 + 0.452i 1.210 + 0.511i 0.452 + 0.266i 5.6 0.510 + 1.210i 0.266 + 0.453i 1.210 + 0.510i 0.453 + 0.266i 5.7 0.509 + 1.210i 0.265 + 0.454i 1.210 + 0.509i 0.454 + 0.265i 5.8 0.509 + 1.210i 0.265 + 0.455i 1.210 + 0.508i 0.455 + 0.265i 5.9 0.508 + 1.210i 0.265 + 0.456i 1.210 + 0.507i 0.455 + 0.265i 6 0.507 + 1.211i 0.264 + 0.457i 1.211 + 0.506i 0.457 + 0.264i 6.1 0.506 + 1.211i 0.264 + 0.458i 1.211 + 0.505i 0.458 + 0.264i 6.2 0.505 + 1.211i 0.263 + 0.459i 1.211 + 0.505i 0.459 + 0.263i 6.3 0.504 + 1.210i 0.263 + 0.460i 1.210 + 0.504i 0.460 + 0.264i 6.4 0.503 + 1.210i 0.263 + 0.461i 1.211 + 0.502i 0.461 + 0.263i 6.5 0.503 + 1.210i 0.262 + 0.463i 1.210 + 0.501i 0.463 + 0.262i 6.6 0.502 + 1.210i 0.263 + 0.465i 1.210 + 0.501i 0.464 + 0.263i 6.7 0.501 + 1.210i 0.262 + 0.466i 1.210 + 0.500i 0.466 + 0.262i 6.8 0.500 + 1.210i 0.262 + 0.468i 1.210 + 0.499i 0.467 + 0.262i 6.9 0.499 + 1.209i 0.261 + 0.469i 1.209 + 0.498i 0.469 + 0.261i 7 0.498 + 1.209i 0.261 + 0.472i 1.209 + 0.498i 0.471 + 0.261i 7.1 0.498 + 1.209i 0.261 + 0.474i 1.209 + 0.497i 0.473 + 0.261i 7.2 0.497 + 1.208i 0.259 + 0.475i 1.208 + 0.497i 0.475 + 0.259i 7.3 0.496 + 1.208i 0.259 + 0.478i 1.208 + 0.496i 0.477 + 0.259i 7.4 0.496 + 1.207i 0.259 + 0.480i 1.207 + 0.495i 0.479 + 0.259i 7.5 0.495 + 1.207i 0.258 + 0.481i 1.207 + 0.495i 0.482 + 0.258i 7.6 0.495 + 1.206i 0.257 + 0.484i 1.206 + 0.494i 0.483 + 0.257i 7.7 0.494 + 1.206i 0.256 + 0.486i 1.206 + 0.494i 0.486 + 0.256i 7.8 0.494 + 1.205i 0.255 + 0.489i 1.205 + 0.493i 0.488 + 0.255i 7.9 0.493 + 1.205i 0.254 + 0.492i 1.205 + 0.493i 0.490 + 0.254i 8 0.493 + 1.204i 0.253 + 0.494i 1.204 + 0.492i 0.493 + 0.253i 8.1 0.492 + 1.203i 0.252 + 0.497i 1.203 + 0.492i 0.495 + 0.252i 8.2 0.492 + 1.203i 0.251 + 0.499i 1.203 + 0.491i 0.497 + 0.251i 8.3 0.492 + 1.202i 0.250 + 0.502i 1.202 + 0.491i 0.500 + 0.250i 8.4 0.492 + 1.202i 0.249 + 0.505i 1.201 + 0.490i 0.501 + 0.249i 8.5 0.491 + 1.201i 0.248 + 0.506i 1.201 + 0.491i 0.505 + 0.248i 8.6 0.491 + 1.200i 0.247 + 0.509i 1.200 + 0.490i 0.508 + 0.247i 8.7 0.491 + 1.200i 0.246 + 0.512i 1.199 + 0.490i 0.509 + 0.245i 8.8 0.490 + 1.199i 0.244 + 0.514i 1.198 + 0.490i 0.513 + 0.244i 8.9 0.492 + 1.198i 0.244 + 0.519i 1.197 + 0.489i 0.513 + 0.242i 9 0.493 + 1.198i 0.243 + 0.524i 1.196 + 0.487i 0.512 + 0.241i 9.1 0.494 + 1.198i 0.243 + 0.530i 1.194 + 0.486i 0.511 + 0.239i 9.2 0.519 + 1.206i 0.252 + 0.583i 1.180 + 0.463i 0.464 + 0.228i 9.3 0.526 + 1.207i 0.253 + 0.597i 1.174 + 0.457i 0.455 + 0.226i 9.4 0.531 + 1.207i 0.254 + 0.608i 1.170 + 0.453i 0.449 + 0.223i 9.5 0.537 + 1.208i 0.254 + 0.618i 1.166 + 0.450i 0.442 + 0.222i 9.6 0.542 + 1.209i 0.255 + 0.626i 1.162 + 0.446i 0.437 + 0.220i 9.7 0.547 + 1.209i 0.256 + 0.635i 1.157 + 0.443i 0.432 + 0.219i 9.8 0.553 + 1.209i 0.256 + 0.643i 1.153 + 0.439i 0.428 + 0.218i 9.9 0.558 + 1.210i 0.257 + 0.650i 1.149 + 0.437i 0.424 + 0.218i 10 0.565 + 1.209i 0.257 + 0.657i 1.144 + 0.433i 0.419 + 0.218i 10.1 0.573 + 1.209i 0.257 + 0.665i 1.139 + 0.430i 0.415 + 0.217i 10.2 0.585 + 1.206i 0.258 + 0.674i 1.134 + 0.425i 0.410 + 0.218i 10.3 0.604 + 1.201i 0.257 + 0.686i 1.127 + 0.419i 0.402 + 0.218i 10.4 0.948 + 0.968i 0.283 + 0.948i 0.968 + 0.291i 0.291 + 0.283i 10.5 0.949 + 0.966i 0.285 + 0.949i 0.965 + 0.291i 0.291 + 0.285i 10.6 0.952 + 0.963i 0.287 + 0.952i 0.963 + 0.291i 0.291 + 0.287i 10.7 0.952 + 0.963i 0.287 + 0.952i 0.962 + 0.292i 0.292 + 0.287i 10.8 0.953 + 0.962i 0.288 + 0.953i 0.961 + 0.292i 0.292 + 0.288i 10.9 0.954 + 0.959i 0.290 + 0.954i 0.959 + 0.292i 0.292 + 0.290i 11 0.955 + 0.958i 0.291 + 0.955i 0.958 + 0.292i 0.293 + 0.291i 11.1 0.955 + 0.958i 0.292 + 0.955i 0.958 + 0.293i 0.293 + 0.292i 11.2 0.955 + 0.957i 0.293 + 0.955i 0.957 + 0.293i 0.293 + 0.293i 11.3 0.955 + 0.957i 0.294 + 0.955i 0.956 + 0.294i 0.294 + 0.294i 11.4 0.955 + 0.957i 0.294 + 0.955i 0.956 + 0.294i 0.294 + 0.294i 11.5 0.955 + 0.957i 0.295 + 0.955i 0.956 + 0.295i 0.295 + 0.295i 11.6 0.955 + 0.956i 0.296 + 0.955i 0.955 + 0.296i 0.296 + 0.296i 11.7 0.954 + 0.956i 0.296 + 0.954i 0.956 + 0.296i 0.296 + 0.296i 11.8 0.955 + 0.955i 0.297 + 0.955i 0.955 + 0.297i 0.297 + 0.297i 11.9 0.955 + 0.956i 0.297 + 0.955i 0.955 + 0.297i 0.297 + 0.297i 12 0.954 + 0.955i 0.297 + 0.955i 0.955 + 0.298i 0.298 + 0.298i 12.1 0.954 + 0.955i 0.298 + 0.954i 0.954 + 0.299i 0.298 + 0.298i 12.2 0.954 + 0.955i 0.298 + 0.954i 0.955 + 0.299i 0.299 + 0.298i 12.3 0.954 + 0.955i 0.299 + 0.954i 0.954 + 0.299i 0.299 + 0.299i 12.4 0.954 + 0.955i 0.299 + 0.954i 0.954 + 0.300i 0.299 + 0.299i 12.5 0.954 + 0.954i 0.300 + 0.954i 0.954 + 0.300i 0.300 + 0.300i 12.6 0.954 + 0.955i 0.300 + 0.954i 0.954 + 0.301i 0.300 + 0.300i 12.7 0.954 + 0.954i 0.301 + 0.954i 0.954 + 0.301i 0.301 + 0.301i 12.8 0.953 + 0.954i 0.301 + 0.954i 0.954 + 0.302i 0.301 + 0.301i 12.9 0.953 + 0.954i 0.301 + 0.953i 0.953 + 0.302i 0.301 + 0.301i 13 0.953 + 0.954i 0.302 + 0.953i 0.953 + 0.302i 0.302 + 0.302i 13.1 0.953 + 0.954i 0.302 + 0.953i 0.953 + 0.303i 0.302 + 0.302i 13.2 0.953 + 0.954i 0.303 + 0.953i 0.953 + 0.303i 0.303 + 0.303i 13.3 0.953 + 0.953i 0.303 + 0.953i 0.953 + 0.304i 0.303 + 0.303i 13.4 0.953 + 0.953i 0.303 + 0.953i 0.953 + 0.304i 0.303 + 0.303i 13.5 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.304i 0.304 + 0.304i 13.6 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.304i 0.304 + 0.304i 13.7 0.952 + 0.953i 0.304 + 0.953i 0.952 + 0.305i 0.304 + 0.304i 13.8 0.952 + 0.953i 0.304 + 0.953i 0.953 + 0.305i 0.304 + 0.304i 13.9 0.952 + 0.953i 0.305 + 0.953i 0.953 + 0.305i 0.305 + 0.305i 14 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.305i 0.305 + 0.305i 14.1 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.306i 0.306 + 0.305i 14.2 0.952 + 0.952i 0.305 + 0.952i 0.953 + 0.306i 0.306 + 0.305i 14.3 0.951 + 0.952i 0.306 + 0.952i 0.953 + 0.306i 0.306 + 0.306i 14.4 0.951 + 0.952i 0.306 + 0.952i 0.953 + 0.306i 0.306 + 0.306i 14.5 0.951 + 0.952i 0.306 + 0.952i 0.952 + 0.307i 0.307 + 0.306i 14.6 0.951 + 0.952i 0.306 + 0.952i 0.952 + 0.307i 0.307 + 0.306i 14.7 0.951 + 0.952i 0.307 + 0.952i 0.953 + 0.307i 0.307 + 0.307i 14.8 0.951 + 0.952i 0.307 + 0.952i 0.952 + 0.307i 0.307 + 0.307i 14.9 0.951 + 0.951i 0.307 + 0.952i 0.952 + 0.307i 0.307 + 0.307i 15 0.951 + 0.951i 0.308 + 0.952i 0.952 + 0.308i 0.308 + 0.307i

64 NUC Normalized values SNR a1 a2 a3 a4 a5 a6 a7 a8 7 0.467 + 0.274i 0.274 + 0.465i 0.456 + 0.247i 0.248 + 0.452i 1.125 + 0.640i 0.633 + 1.125i 1.265 + 0.359i 0.361 + 1.265i 7.1 0.473 + 0.277i 0.277 + 0.471i 0.464 + 0.247i 0.250 + 0.458i 1.106 + 0.638i 0.625 + 1.105i 1.245 + 0.347i 0.348 + 1.242i 7.2 0.482 + 0.281i 0.281 + 0.479i 0.477 + 0.248i 0.251 + 0.467i 1.077 + 0.629i 0.609 + 1.077i 1.213 + 0.333i 0.334 + 1.208i 7.3 0.489 + 0.283i 0.283 + 0.485i 0.487 + 0.248i 0.252 + 0.473i 1.057 + 0.624i 0.597 + 1.057i 1.193 + 0.322i 0.323 + 1.184i 7.4 0.495 + 0.286i 0.285 + 0.489i 0.498 + 0.247i 0.252 + 0.479i 1.041 + 0.621i 0.586 + 1.040i 1.175 + 0.315i 0.315 + 1.164i 7.5 0.500 + 0.287i 0.286 + 0.493i 0.507 + 0.247i 0.253 + 0.485i 1.027 + 0.617i 0.579 + 1.027i 1.161 + 0.308i 0.308 + 1.148i 7.6 0.505 + 0.289i 0.287 + 0.497i 0.513 + 0.247i 0.252 + 0.492i 1.016 + 0.612i 0.576 + 1.016i 1.148 + 0.304i 0.301 + 1.134i 7.7 0.508 + 0.290i 0.289 + 0.502i 0.517 + 0.247i 0.251 + 0.501i 1.006 + 0.602i 0.577 + 1.006i 1.135 + 0.299i 0.296 + 1.124i 7.8 0.512 + 0.291i 0.291 + 0.507i 0.521 + 0.247i 0.250 + 0.510i 0.997 + 0.596i 0.577 + 0.997i 1.124 + 0.294i 0.292 + 1.115i 7.9 0.515 + 0.292i 0.292 + 0.512i 0.525 + 0.248i 0.249 + 0.519i 0.988 + 0.588i 0.579 + 0.988i 1.113 + 0.291i 0.289 + 1.107i 8 0.519 + 0.294i 0.293 + 0.517i 0.530 + 0.247i 0.248 + 0.526i 0.981 + 0.584i 0.577 + 0.981i 1.104 + 0.288i 0.286 + 1.099i 8.1 0.523 + 0.295i 0.295 + 0.522i 0.535 + 0.247i 0.247 + 0.533i 0.974 + 0.580i 0.575 + 0.974i 1.095 + 0.284i 0.284 + 1.092i 8.2 0.527 + 0.296i 0.296 + 0.526i 0.541 + 0.246i 0.246 + 0.540i 0.967 + 0.576i 0.573 + 0.967i 1.087 + 0.282i 0.282 + 1.084i 8.3 0.532 + 0.297i 0.297 + 0.531i 0.547 + 0.245i 0.245 + 0.546i 0.961 + 0.573i 0.570 + 0.961i 1.081 + 0.279i 0.279 + 1.078i 8.4 0.536 + 0.299i 0.299 + 0.535i 0.553 + 0.244i 0.244 + 0.553i 0.955 + 0.570i 0.568 + 0.955i 1.074 + 0.277i 0.277 + 1.072i 8.5 0.541 + 0.300i 0.300 + 0.541i 0.559 + 0.243i 0.244 + 0.559i 0.950 + 0.566i 0.565 + 0.950i 1.068 + 0.275i 0.275 + 1.067i 8.6 0.545 + 0.302i 0.302 + 0.545i 0.566 + 0.242i 0.242 + 0.566i 0.945 + 0.564i 0.563 + 0.945i 1.062 + 0.273i 0.273 + 1.062i 8.7 0.550 + 0.303i 0.303 + 0.550i 0.572 + 0.241i 0.241 + 0.572i 0.940 + 0.561i 0.561 + 0.940i 1.058 + 0.271i 0.271 + 1.057i 8.8 0.554 + 0.305i 0.305 + 0.554i 0.578 + 0.239i 0.240 + 0.578i 0.936 + 0.559i 0.559 + 0.936i 1.053 + 0.268i 0.269 + 1.052i 8.9 0.559 + 0.306i 0.306 + 0.559i 0.584 + 0.238i 0.238 + 0.584i 0.932 + 0.556i 0.557 + 0.932i 1.048 + 0.267i 0.267 + 1.048i 9 0.563 + 0.307i 0.307 + 0.563i 0.590 + 0.236i 0.237 + 0.590i 0.929 + 0.554i 0.554 + 0.929i 1.045 + 0.265i 0.265 + 1.045i 9.1 0.567 + 0.309i 0.309 + 0.566i 0.596 + 0.235i 0.235 + 0.596i 0.925 + 0.553i 0.553 + 0.925i 1.041 + 0.263i 0.264 + 1.041i 9.2 0.571 + 0.310i 0.311 + 0.571i 0.601 + 0.234i 0.234 + 0.601i 0.922 + 0.552i 0.552 + 0.922i 1.039 + 0.261i 0.262 + 1.038i 9.3 0.574 + 0.313i 0.312 + 0.574i 0.607 + 0.232i 0.232 + 0.607i 0.919 + 0.550i 0.550 + 0.919i 1.035 + 0.259i 0.260 + 1.035i 9.4 0.578 + 0.314i 0.314 + 0.578i 0.612 + 0.230i 0.230 + 0.612i 0.916 + 0.550i 0.550 + 0.916i 1.033 + 0.257i 0.258 + 1.033i 9.5 0.581 + 0.316i 0.316 + 0.581i 0.617 + 0.229i 0.229 + 0.617i 0.913 + 0.549i 0.549 + 0.913i 1.030 + 0.255i 0.256 + 1.030i 9.6 0.584 + 0.317i 0.317 + 0.584i 0.622 + 0.226i 0.227 + 0.622i 0.911 + 0.548i 0.549 + 0.911i 1.028 + 0.253i 0.254 + 1.028i 9.7 0.587 + 0.319i 0.319 + 0.587i 0.627 + 0.225i 0.225 + 0.627i 0.908 + 0.549i 0.549 + 0.908i 1.026 + 0.251i 0.252 + 1.026i 9.8 0.589 + 0.321i 0.321 + 0.589i 0.631 + 0.222i 0.223 + 0.631i 0.906 + 0.549i 0.549 + 0.906i 1.025 + 0.249i 0.251 + 1.025i 9.9 0.592 + 0.323i 0.322 + 0.592i 0.636 + 0.221i 0.221 + 0.635i 0.904 + 0.550i 0.549 + 0.904i 1.024 + 0.247i 0.248 + 1.024i 10 0.594 + 0.325i 0.324 + 0.594i 0.640 + 0.219i 0.219 + 0.639i 0.902 + 0.550i 0.549 + 0.902i 1.023 + 0.245i 0.246 + 1.023i 10.1 0.596 + 0.327i 0.326 + 0.596i 0.644 + 0.216i 0.217 + 0.643i 0.900 + 0.551i 0.551 + 0.900i 1.022 + 0.243i 0.245 + 1.022i 10.2 0.598 + 0.329i 0.328 + 0.598i 0.647 + 0.215i 0.215 + 0.647i 0.898 + 0.552i 0.552 + 0.898i 1.021 + 0.241i 0.242 + 1.021i 10.3 0.600 + 0.331i 0.330 + 0.600i 0.651 + 0.213i 0.213 + 0.651i 0.896 + 0.553i 0.552 + 0.896i 1.020 + 0.240i 0.240 + 1.020i 10.4 0.601 + 0.333i 0.332 + 0.601i 0.655 + 0.211i 0.211 + 0.654i 0.894 + 0.554i 0.554 + 0.894i 1.019 + 0.237i 0.238 + 1.020i 10.5 0.603 + 0.335i 0.334 + 0.603i 0.658 + 0.208i 0.208 + 0.658i 0.892 + 0.556i 0.555 + 0.893i 1.019 + 0.235i 0.236 + 1.020i 10.6 0.604 + 0.337i 0.337 + 0.604i 0.661 + 0.206i 0.206 + 0.661i 0.891 + 0.557i 0.556 + 0.891i 1.019 + 0.233i 0.234 + 1.019i 10.7 0.605 + 0.339i 0.339 + 0.605i 0.664 + 0.204i 0.204 + 0.664i 0.890 + 0.558i 0.558 + 0.890i 1.018 + 0.232i 0.232 + 1.019i 10.8 0.606 + 0.341i 0.341 + 0.606i 0.667 + 0.202i 0.202 + 0.668i 0.888 + 0.559i 0.560 + 0.888i 1.018 + 0.229i 0.231 + 1.019i 10.9 0.608 + 0.344i 0.343 + 0.608i 0.670 + 0.200i 0.200 + 0.670i 0.886 + 0.561i 0.561 + 0.887i 1.018 + 0.227i 0.229 + 1.019i 11 0.608 + 0.346i 0.345 + 0.608i 0.673 + 0.198i 0.198 + 0.673i 0.885 + 0.563i 0.563 + 0.886i 1.019 + 0.226i 0.226 + 1.019i 11.1 0.610 + 0.348i 0.347 + 0.610i 0.676 + 0.196i 0.196 + 0.676i 0.884 + 0.564i 0.564 + 0.884i 1.018 + 0.224i 0.224 + 1.020i 11.2 0.610 + 0.350i 0.349 + 0.610i 0.678 + 0.193i 0.193 + 0.678i 0.882 + 0.566i 0.566 + 0.883i 1.019 + 0.222i 0.223 + 1.020i 11.3 0.611 + 0.352i 0.352 + 0.611i 0.681 + 0.191i 0.191 + 0.681i 0.882 + 0.567i 0.567 + 0.882i 1.020 + 0.220i 0.221 + 1.020i 11.4 0.612 + 0.354i 0.354 + 0.612i 0.683 + 0.190i 0.190 + 0.683i 0.881 + 0.569i 0.569 + 0.881i 1.020 + 0.219i 0.220 + 1.021i 11.5 0.613 + 0.356i 0.356 + 0.613i 0.685 + 0.188i 0.188 + 0.685i 0.880 + 0.570i 0.570 + 0.880i 1.020 + 0.217i 0.219 + 1.021i 11.6 0.613 + 0.358i 0.358 + 0.613i 0.687 + 0.186i 0.186 + 0.687i 0.879 + 0.571i 0.571 + 0.879i 1.021 + 0.216i 0.216 + 1.022i 11.7 0.614 + 0.360i 0.360 + 0.614i 0.689 + 0.184i 0.184 + 0.689i 0.878 + 0.573i 0.573 + 0.879i 1.021 + 0.214i 0.215 + 1.022i 11.8 0.614 + 0.362i 0.362 + 0.614i 0.691 + 0.183i 0.183 + 0.690i 0.878 + 0.574i 0.574 + 0.878i 1.022 + 0.213i 0.214 + 1.022i 11.9 0.615 + 0.364i 0.364 + 0.615i 0.693 + 0.181i 0.181 + 0.692i 0.878 + 0.576i 0.575 + 0.878i 1.023 + 0.212i 0.213 + 1.023i 12 0.616 + 0.366i 0.365 + 0.616i 0.694 + 0.180i 0.179 + 0.694i 0.877 + 0.577i 0.576 + 0.877i 1.023 + 0.211i 0.212 + 1.024i 12.1 0.616 + 0.368i 0.367 + 0.616i 0.695 + 0.178i 0.178 + 0.695i 0.876 + 0.577i 0.577 + 0.877i 1.024 + 0.210i 0.211 + 1.025i 12.2 0.617 + 0.370i 0.369 + 0.617i 0.697 + 0.177i 0.176 + 0.697i 0.876 + 0.579i 0.578 + 0.877i 1.025 + 0.209i 0.210 + 1.026i 12.3 0.617 + 0.371i 0.371 + 0.617i 0.698 + 0.175i 0.175 + 0.698i 0.876 + 0.580i 0.579 + 0.876i 1.026 + 0.208i 0.209 + 1.026i 12.4 0.618 + 0.372i 0.373 + 0.617i 0.700 + 0.174i 0.174 + 0.699i 0.876 + 0.580i 0.580 + 0.876i 1.027 + 0.207i 0.208 + 1.027i 12.5 0.618 + 0.373i 0.375 + 0.617i 0.701 + 0.172i 0.172 + 0.700i 0.877 + 0.581i 0.582 + 0.876i 1.028 + 0.207i 0.207 + 1.027i 12.6 0.618 + 0.375i 0.377 + 0.618i 0.701 + 0.171i 0.171 + 0.701i 0.876 + 0.581i 0.582 + 0.876i 1.029 + 0.206i 0.207 + 1.028i 12.7 0.618 + 0.376i 0.378 + 0.618i 0.703 + 0.170i 0.170 + 0.703i 0.877 + 0.583i 0.583 + 0.876i 1.030 + 0.206i 0.207 + 1.030i 12.8 0.618 + 0.377i 0.380 + 0.618i 0.703 + 0.169i 0.169 + 0.704i 0.877 + 0.583i 0.584 + 0.876i 1.030 + 0.205i 0.206 + 1.030i 12.9 0.618 + 0.379i 0.382 + 0.618i 0.704 + 0.167i 0.168 + 0.705i 0.877 + 0.584i 0.585 + 0.877i 1.031 + 0.204i 0.206 + 1.031i 13 0.615 + 0.355i 0.403 + 0.618i 0.684 + 0.158i 0.176 + 0.726i 0.886 + 0.564i 0.606 + 0.865i 1.028 + 0.198i 0.214 + 1.038i 13.1 0.614 + 0.352i 0.407 + 0.617i 0.682 + 0.155i 0.176 + 0.730i 0.888 + 0.562i 0.609 + 0.863i 1.028 + 0.197i 0.215 + 1.040i 13.2 0.613 + 0.351i 0.410 + 0.617i 0.681 + 0.154i 0.176 + 0.734i 0.889 + 0.561i 0.612 + 0.863i 1.029 + 0.196i 0.216 + 1.041i 13.3 0.613 + 0.350i 0.412 + 0.617i 0.680 + 0.152i 0.175 + 0.737i 0.889 + 0.560i 0.614 + 0.862i 1.029 + 0.195i 0.217 + 1.042i 13.4 0.612 + 0.349i 0.415 + 0.616i 0.677 + 0.150i 0.175 + 0.741i 0.890 + 0.558i 0.616 + 0.861i 1.030 + 0.194i 0.218 + 1.044i 13.5 0.611 + 0.348i 0.418 + 0.615i 0.676 + 0.149i 0.175 + 0.744i 0.892 + 0.558i 0.618 + 0.860i 1.030 + 0.194i 0.219 + 1.045i 13.6 0.611 + 0.348i 0.420 + 0.615i 0.676 + 0.147i 0.175 + 0.747i 0.892 + 0.557i 0.620 + 0.860i 1.030 + 0.193i 0.220 + 1.047i 13.7 0.610 + 0.347i 0.422 + 0.614i 0.674 + 0.146i 0.174 + 0.750i 0.893 + 0.556i 0.622 + 0.860i 1.031 + 0.192i 0.221 + 1.048i 13.8 0.609 + 0.348i 0.423 + 0.614i 0.674 + 0.145i 0.173 + 0.753i 0.894 + 0.556i 0.623 + 0.860i 1.031 + 0.192i 0.222 + 1.050i 13.9 0.609 + 0.347i 0.426 + 0.613i 0.674 + 0.143i 0.173 + 0.755i 0.894 + 0.555i 0.624 + 0.859i 1.031 + 0.191i 0.222 + 1.051i 14 0.609 + 0.347i 0.427 + 0.613i 0.674 + 0.142i 0.172 + 0.757i 0.895 + 0.555i 0.625 + 0.859i 1.032 + 0.191i 0.224 + 1.052i 14.1 0.608 + 0.347i 0.428 + 0.613i 0.674 + 0.140i 0.171 + 0.760i 0.896 + 0.555i 0.626 + 0.859i 1.033 + 0.191i 0.224 + 1.054i 14.2 0.608 + 0.347i 0.430 + 0.612i 0.675 + 0.139i 0.170 + 0.762i 0.896 + 0.554i 0.627 + 0.859i 1.033 + 0.191i 0.225 + 1.055i 14.3 0.607 + 0.344i 0.431 + 0.611i 0.678 + 0.138i 0.168 + 0.764i 0.896 + 0.555i 0.627 + 0.858i 1.035 + 0.191i 0.226 + 1.056i 14.4 0.607 + 0.340i 0.432 + 0.609i 0.686 + 0.136i 0.166 + 0.765i 0.896 + 0.555i 0.627 + 0.857i 1.038 + 0.193i 0.227 + 1.056i 14.5 0.615 + 0.327i 0.433 + 0.599i 0.727 + 0.135i 0.158 + 0.752i 0.897 + 0.564i 0.618 + 0.851i 1.058 + 0.203i 0.223 + 1.044i 14.6 0.622 + 0.322i 0.434 + 0.594i 0.748 + 0.135i 0.154 + 0.743i 0.897 + 0.569i 0.614 + 0.850i 1.068 + 0.208i 0.221 + 1.037i 14.7 0.628 + 0.321i 0.436 + 0.590i 0.763 + 0.135i 0.152 + 0.737i 0.898 + 0.572i 0.611 + 0.848i 1.076 + 0.212i 0.220 + 1.031i 14.8 0.630 + 0.320i 0.437 + 0.589i 0.770 + 0.134i 0.151 + 0.735i 0.898 + 0.573i 0.610 + 0.848i 1.079 + 0.213i 0.220 + 1.030i 14.9 0.634 + 0.320i 0.439 + 0.587i 0.778 + 0.134i 0.150 + 0.731i 0.898 + 0.574i 0.609 + 0.848i 1.084 + 0.214i 0.219 + 1.027i 15 0.637 + 0.322i 0.440 + 0.586i 0.783 + 0.133i 0.149 + 0.729i 0.899 + 0.576i 0.607 + 0.849i 1.087 + 0.216i 0.218 + 1.026i 15.1 0.640 + 0.323i 0.441 + 0.586i 0.787 + 0.133i 0.149 + 0.727i 0.899 + 0.576i 0.607 + 0.849i 1.090 + 0.216i 0.218 + 1.025i 15.2 0.643 + 0.324i 0.442 + 0.585i 0.791 + 0.133i 0.149 + 0.725i 0.899 + 0.576i 0.606 + 0.849i 1.093 + 0.217i 0.218 + 1.023i 15.3 0.645 + 0.326i 0.443 + 0.586i 0.794 + 0.133i 0.148 + 0.725i 0.900 + 0.577i 0.605 + 0.850i 1.095 + 0.218i 0.217 + 1.023i 15.4 0.648 + 0.328i 0.444 + 0.586i 0.797 + 0.132i 0.148 + 0.724i 0.900 + 0.577i 0.605 + 0.851i 1.098 + 0.218i 0.717 + 1.022i 15.5 0.650 + 0.330i 0.445 + 0.586i 0.799 + 0.132i 0.148 + 0.723i 0.901 + 0.578i 0.605 + 0.851i 1.100 + 0.218i 0.217 + 1.021i 15.6 0.652 + 0.333i 0.446 + 0.587i 0.801 + 0.132i 0.148 + 0.722i 0.902 + 0.578i 0.605 + 0.852i 1.101 + 0.218i 0.217 + 1.021i 15.7 0.654 + 0.334i 0.447 + 0.588i 0.802 + 0.131i 0.148 + 0.722i 0.902 + 0.577i 0.605 + 0.853i 1.103 + 0.217i 0.216 + 1.021i 15.8 0.656 + 0.337i 0.448 + 0.588i 0.804 + 0.131i 0.148 + 0.721i 0.904 + 0.577i 0.605 + 0.854i 1.105 + 0.215i 0.216 + 1.020i 15.9 0.659 + 0.339i 0.449 + 0.589i 0.806 + 0.131i 0.148 + 0.720i 0.906 + 0.577i 0.605 + 0.854i 1.108 + 0.213i 0.216 + 1.019i 16 0.697 + 0.332i 0.450 + 0.568i 0.882 + 0.139i 0.143 + 0.674i 0.892 + 0.600i 0.568 + 0.844i 1.225 + 0.212i 0.196 + 0.977i 16.1 0.700 + 0.333i 0.450 + 0.569i 0.887 + 0.139i 0.144 + 0.673i 0.891 + 0.602i 0.566 + 0.846i 1.231 + 0.212i 0.195 + 0.976i 16.2 0.702 + 0.334i 0.451 + 0.569i 0.892 + 0.141i 0.144 + 0.671i 0.889 + 0.605i 0.564 + 0.847i 1.238 + 0.212i 0.194 + 0.975i 16.3 0.705 + 0.335i 0.451 + 0.570i 0.898 + 0.142i 0.144 + 0.670i 0.887 + 0.607i 0.562 + 0.848i 1.245 + 0.212i 0.194 + 0.974i 16.4 0.706 + 0.336i 0.451 + 0.571i 0.903 + 0.144i 0.144 + 0.669i 0.884 + 0.609i 0.561 + 0.849i 1.251 + 0.212i 0.193 + 0.974i 16.5 0.708 + 0.338i 0.452 + 0.572i 0.906 + 0.145i 0.145 + 0.669i 0.883 + 0.612i 0.560 + 0.851i 1.255 + 0.211i 0.192 + 0.973i 16.6 0.711 + 0.340i 0.452 + 0.572i 0.911 + 0.147i 0.145 + 0.667i 0.880 + 0.615i 0.557 + 0.853i 1.262 + 0.211i 0.191 + 0.973i 16.7 0.712 + 0.341i 0.452 + 0.573i 0.915 + 0.149i 0.145 + 0.667i 0.877 + 0.618i 0.555 + 0.855i 1.267 + 0.210i 0.190 + 0.974i 16.8 0.715 + 0.343i 0.452 + 0.575i 0.920 + 0.151i 0.145 + 0.666i 0.873 + 0.622i 0.554 + 0.857i 1.274 + 0.209i 0.190 + 0.973i 16.9 0.716 + 0.344i 0.451 + 0.576i 0.925 + 0.153i 0.145 + 0.666i 0.868 + 0.626i 0.552 + 0.860i 1.280 + 0.207i 0.189 + 0.974i 17 0.720 + 0.347i 0.450 + 0.577i 0.932 + 0.156i 0.145 + 0.664i 0.862 + 0.633i 0.548 + 0.863i 1.290 + 0.205i 0.187 + 0.973i 17.1 0.724 + 0.350i 0.449 + 0.579i 0.939 + 0.158i 0.145 + 0.662i 0.855 + 0.641i 0.544 + 0.866i 1.299 + 0.203i 0.185 + 0.972i 17.2 0.726 + 0.353i 0.449 + 0.581i 0.941 + 0.159i 0.145 + 0.662i 0.850 + 0.646i 0.541 + 0.870i 1.303 + 0.201i 0.184 + 0.972i 17.3 0.728 + 0.357i 0.449 + 0.583i 0.943 + 0.160i 0.146 + 0.663i 0.847 + 0.651i 0.539 + 0.873i 1.305 + 0.201i 0.183 + 0.973i 17.4 0.732 + 0.362i 0.448 + 0.585i 0.945 + 0.161i 0.145 + 0.661i 0.841 + 0.661i 0.535 + 0.877i 1.309 + 0.199i 0.182 + 0.972i 17.5 0.734 + 0.366i 0.448 + 0.587i 0.945 + 0.161i 0.146 + 0.662i 0.838 + 0.666i 0.534 + 0.880i 1.309 + 0.199i 0.181 + 0.973i 17.6 0.738 + 0.372i 0.448 + 0.589i 0.945 + 0.161i 0.146 + 0.661i 0.833 + 0.675i 0.529 + 0.884i 1.310 + 0.198i 0.179 + 0.973i 17.7 0.740 + 0.376i 0.448 + 0.592i 0.945 + 0.160i 0.147 + 0.662i 0.831 + 0.681i 0.527 + 0.888i 1.308 + 0.197i 0.178 + 0.973i 17.8 0.743 + 0.381i 0.448 + 0.594i 0.944 + 0.160i 0.147 + 0.663i 0.827 + 0.688i 0.524 + 0.891i 1.308 + 0.197i 0.177 + 0.974i 17.9 0.743 + 0.383i 0.449 + 0.596i 0.944 + 0.160i 0.148 + 0.663i 0.826 + 0.691i 0.523 + 0.894i 1.307 + 0.196i 0.176 + 0.975i 18 0.744 + 0.386i 0.449 + 0.598i 0.943 + 0.160i 0.148 + 0.664i 0.824 + 0.695i 0.522 + 0.897i 1.305 + 0.196i 0.176 + 0.976i 18.1 0.745 + 0.389i 0.450 + 0.601i 0.941 + 0.160i 0.148 + 0.666i 0.823 + 0.699i 0.521 + 0.900i 1.303 + 0.195i 0.175 + 0.976i 18.2 0.746 + 0.391i 0.450 + 0.603i 0.940 + 0.159i 0.148 + 0.667i 0.821 + 0.703i 0.520 + 0.903i 1.300 + 0.195i 0.174 + 0.978i 18.3 0.747 + 0.393i 0.451 + 0.605i 0.939 + 0.159i 0.149 + 0.669i 0.820 + 0.706i 0.518 + 0.905i 1.299 + 0.194i 0.174 + 0.979i 18.4 0.747 + 0.396i 0.452 + 0.608i 0.937 + 0.158i 0.149 + 0.671i 0.819 + 0.709i 0.517 + 0.908i 1.296 + 0.194i 0.173 + 0.981i 18.5 0.747 + 0.397i 0.452 + 0.610i 0.936 + 0.158i 0.150 + 0.673i 0.817 + 0.710i 0.517 + 0.910i 1.294 + 0.193i 0.173 + 0.983i 18.6 0.747 + 0.399i 0.453 + 0.612i 0.934 + 0.158i 0.150 + 0.675i 0.818 + 0.712i 0.517 + 0.912i 1.291 + 0.193i 0.173 + 0.984i 18.7 0.748 + 0.400i 0.454 + 0.614i 0.933 + 0.158i 0.151 + 0.676i 0.817 + 0.714i 0.516 + 0.915i 1.289 + 0.192i 0.173 + 0.985i 18.8 0.748 + 0.402i 0.454 + 0.617i 0.931 + 0.158i 0.151 + 0.679i 0.816 + 0.717i 0.515 + 0.917i 1.287 + 0.192i 0.173 + 0.987i 18.9 0.747 + 0.403i 0.455 + 0.618i 0.931 + 0.158i 0.152 + 0.680i 0.816 + 0.718i 0.515 + 0.919i 1.286 + 0.191i 0.172 + 0.988i 19 0.747 + 0.404i 0.456 + 0.621i 0.929 + 0.157i 0.152 + 0.682i 0.817 + 0.719i 0.515 + 0.921i 1.282 + 0.191i 0.172 + 0.990i 19.1 0.748 + 0.406i 0.457 + 0.623i 0.928 + 0.157i 0.152 + 0.684i 0.817 + 0.721i 0.515 + 0.923i 1.281 + 0.190i 0.172 + 0.991i 19.2 0.747 + 0.408i 0.458 + 0.624i 0.927 + 0.157i 0.153 + 0.686i 0.818 + 0.723i 0.515 + 0.924i 1.278 + 0.189i 0.172 + 0.993i 19.3 0.748 + 0.408i 0.459 + 0.626i 0.926 + 0.157i 0.153 + 0.687i 0.819 + 0.723i 0.515 + 0.926i 1.277 + 0.188i 0.172 + 0.994i 19.4 0.748 + 0.410i 0.461 + 0.627i 0.924 + 0.157i 0.154 + 0.689i 0.820 + 0.726i 0.514 + 0.927i 1.275 + 0.187i 0.172 + 0.996i 19.5 0.747 + 0.411i 0.462 + 0.629i 0.924 + 0.157i 0.154 + 0.691i 0.821 + 0.727i 0.514 + 0.928i 1.273 + 0.187i 0.172 + 0.998i 19.6 0.747 + 0.413i 0.463 + 0.630i 0.922 + 0.157i 0.155 + 0.693i 0.822 + 0.729i 0.514 + 0.930i 1.271 + 0.185i 0.172 + 0.999i 19.7 0.748 + 0.414i 0.465 + 0.631i 0.922 + 0.157i 0.156 + 0.694i 0.823 + 0.731i 0.513 + 0.930i 1.270 + 0.185i 0.171 + 1.000i 19.8 0.747 + 0.415i 0.467 + 0.633i 0.920 + 0.157i 0.157 + 0.696i 0.824 + 0.732i 0.512 + 0.932i 1.268 + 0.183i 0.171 + 1.002i 19.9 0.747 + 0.417i 0.468 + 0.634i 0.918 + 0.157i 0.157 + 0.699i 0.826 + 0.734i 0.511 + 0.933i 1.265 + 0.182i 0.171 + 1.005i 20 0.747 + 0.418i 0.469 + 0.635i 0.917 + 0.157i 0.157 + 0.701i 0.826 + 0.736i 0.511 + 0.934i 1.263 + 0.182i 0.171 + 1.007i Normalized values SNR a9 a10 a11 a12 a13 a14 a15 a16 7 0.461 + 0.272i 0.272 + 0.460i 0.449 + 0.245i 0.247 + 0.446i 1.140 + 0.647i 0.638 + 1.137i 1.287 + 0.360i 0.361 + 1.285i 7.1 0.455 + 0.269i 0.269 + 0.453i 0.445 + 0.241i 0.244 + 0.438i 1.153 + 0.672i 0.655 + 1.150i 1.311 + 0.354i 0.354 + 1.308i 7.2 0.445 + 0.264i 0.264 + 0.441i 0.435 + 0.236i 0.240 + 0.425i 1.175 + 0.703i 0.678 + 1.171i 1.343 + 0.349i 0.351 + 1.342i 7.3 0.436 + 0.259i 0.259 + 0.432i 0.429 + 0.232i 0.236 + 0.416i 1.192 + 0.732i 0.691 + 1.184i 1.363 + 0.343i 0.346 + 1.362i 7.4 0.428 + 0.254i 0.254 + 0.422i 0.424 + 0.228i 0.233 + 0.406i 1.208 + 0.758i 0.701 + 1.195i 1.379 + 0.338i 0.341 + 1.377i 7.5 0.422 + 0.249i 0.249 + 0.415i 0.419 + 0.224i 0.230 + 0.400i 1.220 + 0.778i 0.711 + 1.205i 1.391 + 0.332i 0.335 + 1.387i 7.6 0.416 + 0.245i 0.245 + 0.407i 0.414 + 0.221i 0.226 + 0.394i 1.229 + 0.790i 0.724 + 1.216i 1.400 + 0.326i 0.329 + 1.396i 7.7 0.408 + 0.240i 0.241 + 0.401i 0.406 + 0.218i 0.222 + 0.391i 1.235 + 0.792i 0.745 + 1.227i 1.407 + 0.322i 0.324 + 1.404i 7.8 0.401 + 0.236i 0.237 + 0.395i 0.398 + 0.215i 0.218 + 0.388i 1.242 + 0.796i 0.761 + 1.237i 1.413 + 0.318i 0.318 + 1.410i 7.9 0.394 + 0.232i 0.233 + 0.389i 0.391 + 0.213i 0.215 + 0.385i 1.247 + 0.795i 0.779 + 1.247i 1.418 + 0.314i 0.313 + 1.417i 8 0.388 + 0.228i 0.229 + 0.384i 0.386 + 0.210i 0.211 + 0.380i 1.252 + 0.800i 0.788 + 1.252i 1.423 + 0.310i 0.310 + 1.423i 8.1 0.382 + 0.224i 0.225 + 0.379i 0.379 + 0.207i 0.208 + 0.376i 1.256 + 0.805i 0.796 + 1.256i 1.430 + 0.307i 0.307 + 1.430i 8.2 0.375 + 0.220i 0.220 + 0.373i 0.374 + 0.204i 0.205 + 0.371i 1.260 + 0.809i 0.803 + 1.260i 1.435 + 0.304i 0.304 + 1.435i 8.3 0.370 + 0.217i 0.217 + 0.368i 0.368 + 0.201i 0.201 + 0.366i 1.263 + 0.813i 0.809 + 1.263i 1.440 + 0.302i 0.302 + 1.441i 8.4 0.364 + 0.213i 0.213 + 0.363i 0.362 + 0.198i 0.199 + 0.362i 1.265 + 0.817i 0.815 + 1.265i 1.445 + 0.300i 0.301 + 1.446i 8.5 0.359 + 0.209i 0.210 + 0.358i 0.357 + 0.194i 0.195 + 0.356i 1.267 + 0.820i 0.819 + 1.266i 1.450 + 0.299i 0.300 + 1.451i 8.6 0.353 + 0.206i 0.206 + 0.353i 0.352 + 0.192i 0.192 + 0.352i 1.268 + 0.824i 0.823 + 1.268i 1.455 + 0.298i 0.299 + 1.456i 8.7 0.348 + 0.202i 0.203 + 0.348i 0.347 + 0.189i 0.189 + 0.347i 1.269 + 0.827i 0.826 + 1.269i 1.459 + 0.297i 0.297 + 1.460i 8.8 0.343 + 0.199i 0.200 + 0.343i 0.342 + 0.186i 0.186 + 0.342i 1.269 + 0.829i 0.829 + 1.269i 1.463 + 0.297i 0.297 + 1.465i 8.9 0.339 + 0.196i 0.196 + 0.339i 0.338 + 0.183i 0.183 + 0.339i 1.270 + 0.831i 0.832 + 1.269i 1.467 + 0.296i 0.296 + 1.469i 9 0.334 + 0.194i 0.194 + 0.334i 0.334 + 0.181i 0.181 + 0.334i 1.270 + 0.833i 0.834 + 1.270i 1.471 + 0.295i 0.296 + 1.472i 9.1 0.331 + 0.191i 0.191 + 0.330i 0.330 + 0.178i 0.178 + 0.330i 1.270 + 0.836i 0.836 + 1.269i 1.474 + 0.295i 0.296 + 1.475i 9.2 0.327 + 0.188i 0.189 + 0.327i 0.327 + 0.176i 0.176 + 0.327i 1.269 + 0.837i 0.838 + 1.269i 1.477 + 0.295i 0.295 + 1.477i 9.3 0.323 + 0.186i 0.186 + 0.323i 0.323 + 0.174i 0.174 + 0.323i 1.269 + 0.839i 0.840 + 1.268i 1.479 + 0.294i 0.295 + 1.480i 9.4 0.320 + 0.184i 0.184 + 0.321i 0.320 + 0.171i 0.171 + 0.321i 1.269 + 0.840i 0.841 + 1.269i 1.481 + 0.294i 0.295 + 1.482i 9.5 0.318 + 0.182i 0.182 + 0.318i 0.318 + 0.169i 0.170 + 0.318i 1.269 + 0.841i 0.842 + 1.269i 1.483 + 0.294i 0.294 + 1.484i 9.6 0.315 + 0.180i 0.180 + 0.315i 0.315 + 0.168i 0.168 + 0.316i 1.268 + 0.842i 0.843 + 1.267i 1.485 + 0.293i 0.294 + 1.485i 9.7 0.313 + 0.179i 0.179 + 0.313i 0.313 + 0.166i 0.166 + 0.313i 1.267 + 0.843i 0.843 + 1.267i 1.486 + 0.293i 0.293 + 1.486i 9.8 0.311 + 0.177i 0.177 + 0.311i 0.311 + 0.164i 0.164 + 0.311i 1.266 + 0.844i 0.844 + 1.267i 1.487 + 0.293i 0.293 + 1.487i 9.9 0.309 + 0.176i 0.176 + 0.308i 0.310 + 0.163i 0.163 + 0.309i 1.266 + 0.844i 0.845 + 1.266i 1.488 + 0.293i 0.293 + 1.488i 10 0.307 + 0.175i 0.175 + 0.307i 0.308 + 0.162i 0.162 + 0.307i 1.265 + 0.845i 0.845 + 1.266i 1.489 + 0.293i 0.293 + 1.489i 10.1 0.306 + 0.173i 0.174 + 0.306i 0.307 + 0.160i 0.161 + 0.307i 1.265 + 0.845i 0.845 + 1.265i 1.489 + 0.293i 0.293 + 1.489i 10.2 0.304 + 0.173i 0.173 + 0.304i 0.305 + 0.159i 0.159 + 0.305i 1.264 + 0.845i 0.846 + 1.264i 1.489 + 0.292i 0.292 + 1.489i 10.3 0.304 + 0.172i 0.172 + 0.304i 0.304 + 0.158i 0.158 + 0.304i 1.263 + 0.845i 0.846 + 1.264i 1.489 + 0.292i 0.292 + 1.490i 10.4 0.303 + 0.172i 0.172 + 0.303i 0.304 + 0.157i 0.157 + 0.304i 1.263 + 0.845i 0.846 + 1.263i 1.490 + 0.292i 0.292 + 1.490i 10.5 0.303 + 0.171i 0.171 + 0.302i 0.304 + 0.156i 0.156 + 0.303i 1.262 + 0.845i 0.846 + 1.263i 1.489 + 0.292i 0.292 + 1.489i 10.6 0.302 + 0.170i 0.170 + 0.302i 0.303 + 0.155i 0.155 + 0.303i 1.262 + 0.845i 0.846 + 1.262i 1.489 + 0.292i 0.292 + 1.489i 10.7 0.301 + 0.170i 0.170 + 0.302i 0.302 + 0.154i 0.154 + 0.303i 1.261 + 0.845i 0.845 + 1.261i 1.489 + 0.291i 0.292 + 1.489i 10.8 0.301 + 0.170i 0.170 + 0.302i 0.302 + 0.153i 0.153 + 0.303i 1.261 + 0.844i 0.846 + 1.261i 1.488 + 0.291i 0.292 + 1.488i 10.9 0.302 + 0.169i 0.169 + 0.301i 0.302 + 0.152i 0.152 + 0.302i 1.260 + 0.843i 0.845 + 1.260i 1.488 + 0.291i 0.292 + 1.488i 11 0.302 + 0.170i 0.170 + 0.301i 0.302 + 0.151i 0.151 + 0.302i 1.260 + 0.843i 0.845 + 1.260i 1.486 + 0.291i 0.292 + 1.487i 11.1 0.302 + 0.169i 0.169 + 0.302i 0.302 + 0.151i 0.151 + 0.302i 1.259 + 0.843i 0.844 + 1.259i 1.486 + 0.291i 0.292 + 1.487i 11.2 0.302 + 0.169i 0.169 + 0.302i 0.303 + 0.150i 0.150 + 0.302i 1.258 + 0.842i 0.844 + 1.258i 1.485 + 0.291i 0.292 + 1.486i 11.3 0.302 + 0.169i 0.169 + 0.302i 0.303 + 0.149i 0.149 + 0.302i 1.257 + 0.842i 0.843 + 1.258i 1.485 + 0.292i 0.292 + 1.485i 11.4 0.302 + 0.169i 0.169 + 0.302i 0.304 + 0.148i 0.148 + 0.304i 1.257 + 0.841i 0.843 + 1.257i 1.484 + 0.292i 0.292 + 1.484i 11.5 0.303 + 0.169i 0.169 + 0.303i 0.304 + 0.148i 0.148 + 0.304i 1.256 + 0.841i 0.842 + 1.257i 1.483 + 0.292i 0.292 + 1.483i 11.6 0.304 + 0.169i 0.169 + 0.304i 0.305 + 0.146i 0.147 + 0.304i 1.256 + 0.840i 0.841 + 1.256i 1.482 + 0.292i 0.292 + 1.482i 11.7 0.304 + 0.169i 0.169 + 0.303i 0.306 + 0.146i 0.146 + 0.305i 1.255 + 0.839i 0.840 + 1.255i 1.481 + 0.292i 0.292 + 1.482i 11.8 0.305 + 0.169i 0.169 + 0.304i 0.307 + 0.145i 0.145 + 0.305i 1.254 + 0.839i 0.840 + 1.255i 1.480 + 0.291i 0.291 + 1.480i 11.9 0.306 + 0.168i 0.168 + 0.305i 0.308 + 0.144i 0.145 + 0.306i 1.254 + 0.838i 0.839 + 1.254i 1.479 + 0.291i 0.291 + 1.479i 12 0.307 + 0.168i 0.168 + 0.305i 0.309 + 0.143i 0.143 + 0.307i 1.253 + 0.837i 0.839 + 1.254i 1.478 + 0.291i 0.291 + 1.478i 12.1 0.307 + 0.168i 0.168 + 0.306i 0.309 + 0.142i 0.142 + 0.308i 1.252 + 0.836i 0.838 + 1.252i 1.477 + 0.291i 0.292 + 1.478i 12.2 0.308 + 0.168i 0.168 + 0.307i 0.311 + 0.142i 0.142 + 0.309i 1.251 + 0.836i 0.837 + 1.251i 1.477 + 0.292i 0.292 + 1.477i 12.3 0.309 + 0.168i 0.168 + 0.308i 0.311 + 0.141i 0.141 + 0.311i 1.250 + 0.836i 0.836 + 1.251i 1.475 + 0.292i 0.291 + 1.475i 12.4 0.309 + 0.168i 0.168 + 0.308i 0.313 + 0.140i 0.140 + 0.312i 1.250 + 0.835i 0.836 + 1.250i 1.475 + 0.292i 0.292 + 1.474i 12.5 0.310 + 0.167i 0.167 + 0.309i 0.313 + 0.139i 0.139 + 0.314i 1.249 + 0.835i 0.835 + 1.249i 1.474 + 0.292i 0.291 + 1.473i 12.6 0.310 + 0.166i 0.167 + 0.310i 0.314 + 0.138i 0.138 + 0.316i 1.248 + 0.834i 0.834 + 1.248i 1.473 + 0.292i 0.291 + 1.472i 12.7 0.310 + 0.166i 0.167 + 0.312i 0.314 + 0.137i 0.137 + 0.317i 1.247 + 0.833i 0.833 + 1.247i 1.472 + 0.291i 0.291 + 1.471i 12.8 0.310 + 0.165i 0.166 + 0.312i 0.316 + 0.137i 0.137 + 0.319i 1.247 + 0.832i 0.833 + 1.247i 1.471 + 0.291i 0.291 + 1.470i 12.9 0.311 + 0.165i 0.166 + 0.314i 0.316 + 0.136i 0.136 + 0.321i 1.246 + 0.831i 0.833 + 1.246i 1.470 + 0.291i 0.291 + 1.469i 13 0.275 + 0.157i 0.176 + 0.357i 0.270 + 0.134i 0.134 + 0.377i 1.252 + 0.820i 0.842 + 1.236i 1.469 + 0.285i 0.297 + 1.466i 13.1 0.270 + 0.155i 0.177 + 0.364i 0.264 + 0.132i 0.133 + 0.387i 1.251 + 0.818i 0.842 + 1.234i 1.468 + 0.285i 0.298 + 1.465i 13.2 0.267 + 0.155i 0.178 + 0.369i 0.261 + 0.131i 0.132 + 0.393i 1.231 + 0.817i 0.841 + 1.233i 1.467 + 0.285i 0.298 + 1.464i 13.3 0.265 + 0.154i 0.180 + 0.373i 0.257 + 0.130i 0.131 + 0.399i 1.250 + 0.815i 0.842 + 1.231i 1.466 + 0.285i 0.299 + 1.463i 13.4 0.261 + 0.154i 0.182 + 0.379i 0.252 + 0.129i 0.131 + 0.406i 1.249 + 0.814i 0.842 + 1.229i 1.465 + 0.284i 0.299 + 1.463i 13.5 0.260 + 0.153i 0.183 + 0.382i 0.249 + 0.129i 0.130 + 0.411i 1.249 + 0.813i 0.841 + 1.229i 1.463 + 0.283i 0.299 + 1.462i 13.6 0.259 + 0.154i 0.184 + 0.386i 0.247 + 0.128i 0.129 + 0.415i 1.248 + 0.811i 0.841 + 1.228i 1.462 + 0.283i 0.299 + 1.461i 13.7 0.257 + 0.154i 0.186 + 0.389i 0.244 + 0.127i 0.129 + 0.420i 1.247 + 0.811i 0.840 + 1.226i 1.461 + 0.283i 0.299 + 1.461i 13.8 0.256 + 0.154i 0.187 + 0.392i 0.241 + 0.126i 0.128 + 0.423i 1.246 + 0.810i 0.839 + 1.226i 1.459 + 0.282i 0.299 + 1.461i 13.9 0.256 + 0.154i 0.189 + 0.395i 0.238 + 0.126i 0.127 + 0.426i 1.244 + 0.809i 0.838 + 1.225i 1.458 + 0.282i 0.299 + 1.460i 14 0.256 + 0.154i 0.191 + 0.398i 0.235 + 0.125i 0.126 + 0.429i 1.244 + 0.808i 0.838 + 1.224i 1.457 + 0.282i 0.299 + 1.459i 14.1 0.257 + 0.156i 0.194 + 0.400i 0.231 + 0.125i 0.126 + 0.432i 1.242 + 0.808i 0.838 + 1.223i 1.456 + 0.282i 0.299 + 1.459i 14.2 0.259 + 0.157i 0.196 + 0.402i 0.227 + 0.124i 0.125 + 0.435i 1.241 + 0.807i 0.836 + 1.222i 1.455 + 0.282i 0.299 + 1.459i 14.3 0.264 + 0.159i 0.201 + 0.405i 0.219 + 0.124i 0.124 + 0.436i 1.239 + 0.807i 0.835 + 1.221i 1.453 + 0.282i 0.298 + 1.458i 14.4 0.275 + 0.161i 0.209 + 0.408i 0.207 + 0.123i 0.122 + 0.435i 1.236 + 0.808i 0.832 + 1.220i 1.453 + 0.283i 0.297 + 1.457i 14.5 0.320 + 0.160i 0.241 + 0.403i 0.175 + 0.118i 0.118 + 0.418i 1.230 + 0.818i 0.818 + 1.216i 1.463 + 0.290i 0.291 + 1.444i 14.6 0.339 + 0.158i 0.258 + 0.400i 0.162 + 0.116i 0.117 + 0.411i 1.225 + 0.823i 0.810 + 1.214i 1.466 + 0.294i 0.287 + 1.436i 14.7 0.352 + 0.155i 0.270 + 0.397i 0.154 + 0.115i 0.115 + 0.406i 1.221 + 0.827i 0.804 + 1.213i 1.470 + 0.297i 0.284 + 1.429i 14.8 0.359 + 0.154i 0.276 + 0.396i 0.149 + 0.114i 0.115 + 0.405i 1.218 + 0.828i 0.800 + 1.212i 1.470 + 0.298i 0.282 + 1.426i 14.9 0.366 + 0.152i 0.282 + 0.394i 0.146 + 0.113i 0.114 + 0.403i 1.215 + 0.830i 0.796 + 1.211i 1.471 + 0.300i 0.281 + 1.423i 15 0.371 + 0.151i 0.286 + 0.393i 0.143 + 0.112i 0.114 + 0.402i 1.213 + 0.831i 0.793 + 1.210i 1.472 + 0.301i 0.279 + 1.420i 15.1 0.375 + 0.149i 0.290 + 0.391i 0.140 + 0.112i 0.113 + 0.400i 1.210 + 0.832i 0.790 + 1.209i 1.472 + 0.303i 0.278 + 1.418i 15.2 0.379 + 0.149i 0.294 + 0.390i 0.138 + 0.112i 0.113 + 0.400i 1.207 + 0.833i 0.788 + 1.209i 1.473 + 0.304i 0.276 + 1.415i 15.3 0.382 + 0.148i 0.296 + 0.390i 0.137 + 0.111i 0.113 + 0.400i 1.204 + 0.835i 0.785 + 1.209i 1.472 + 0.305i 0.275 + 1.414i 15.4 0.386 + 0.147i 0.299 + 0.389i 0.135 + 0.111i 0.112 + 0.399i 1.202 + 0.835i 0.782 + 1.208i 1.473 + 0.308i 0.274 + 1.411i 15.5 0.388 + 0.146i 0.302 + 0.388i 0.135 + 0.111i 0.112 + 0.399i 1.199 + 0.837i 0.779 + 1.208i 1.472 + 0.310i 0.272 + 1.409i 15.6 0.391 + 0.146i 0.304 + 0.388i 0.133 + 0.111i 0.112 + 0.398i 1.196 + 0.839i 0.776 + 1.208i 1.471 + 0.312i 0.271 + 1.408i 15.7 0.393 + 0.145i 0.306 + 0.388i 0.132 + 0.111i 0.112 + 0.399i 1.192 + 0.841i 0.773 + 1.208i 1.470 + 0.315i 0.270 + 1.407i 15.8 0.396 + 0.145i 0.308 + 0.387i 0.132 + 0.111i 0.112 + 0.399i 1.187 + 0.846i 0.768 + 1.210i 1.469 + 0.323i 0.267 + 1.404i 15.9 0.398 + 0.144i 0.311 + 0.386i 0.131 + 0.111i 0.112 + 0.398i 1.180 + 0.852i 0.762 + 1.211i 1.466 + 0.334i 0.264 + 1.402i 16 0.444 + 0.132i 0.340 + 0.360i 0.137 + 0.101i 0.120 + 0.366i 1.071 + 0.959i 0.676 + 1.224i 1.400 + 0.583i 0.232 + 1.365i 16.1 0.448 + 0.132i 0.343 + 0.359i 0.138 + 0.102i 0.121 + 0.365i 1.066 + 0.963i 0.672 + 1.225i 1.393 + 0.589i 0.230 + 1.363i 16.2 0.452 + 0.131i 0.345 + 0.358i 0.139 + 0.101i 0.122 + 0.364i 1.059 + 0.966i 0.667 + 1.225i 1.384 + 0.597i 0.229 + 1.361i 16.3 0.457 + 0.130i 0.347 + 0.358i 0.140 + 0.100i 0.122 + 0.363i 1.054 + 0.969i 0.664 + 1.225i 1.377 + 0.601i 0.227 + 1.359i 16.4 0.460 + 0.130i 0.349 + 0.357i 0.141 + 0.100i 0.123 + 0.363i 1.049 + 0.971i 0.659 + 1.226i 1.369 + 0.606i 0.225 + 1.357i 16.5 0.464 + 0.130i 0.350 + 0.357i 0.142 + 0.100i 0.123 + 0.362i 1.045 + 0.973i 0.656 + 1.227i 1.363 + 0.608i 0.224 + 1.355i 16.6 0.469 + 0.130i 0.353 + 0.356i 0.143 + 0.100i 0.124 + 0.362i 1.040 + 0.976i 0.652 + 1.227i 1.354 + 0.611i 0.223 + 1.354i 16.7 0.472 + 0.129i 0.354 + 0.356i 0.144 + 0.100i 0.124 + 0.361i 1.036 + 0.978i 0.649 + 1.228i 1.347 + 0.612i 0.221 + 1.353i 16.8 0.477 + 0.129i 0.357 + 0.355i 0.145 + 0.100i 0.124 + 0.361i 1.032 + 0.980i 0.646 + 1.229i 1.337 + 0.612i 0.220 + 1.351i 16.9 0.480 + 0.129i 0.358 + 0.355i 0.146 + 0.100i 0.124 + 0.361i 1.028 + 0.982i 0.644 + 1.230i 1.328 + 0.612i 0.219 + 1.350i 17 0.487 + 0.129i 0.361 + 0.353i 0.148 + 0.099i 0.125 + 0.360i 1.025 + 0.984i 0.640 + 1.230i 1.316 + 0.610i 0.217 + 1.348i 17.1 0.493 + 0.128i 0.365 + 0.352i 0.149 + 0.099i 0.126 + 0.359i 1.022 + 0.986i 0.638 + 1.231i 1.303 + 0.607i 0.216 + 1.346i 17.2 0.496 + 0.128i 0.367 + 0.352i 0.150 + 0.100i 0.126 + 0.359i 1.019 + 0.988i 0.636 + 1.233i 1.294 + 0.604i 0.215 + 1.345i 17.3 0.499 + 0.128i 0.369 + 0.352i 0.151 + 0.100i 0.126 + 0.360i 1.016 + 0.990i 0.634 + 1.233i 1.287 + 0.602i 0.215 + 1.344i 17.4 0.504 + 0.129i 0.372 + 0.351i 0.152 + 0.100i 0.127 + 0.359i 1.015 + 0.993i 0.632 + 1.236i 1.275 + 0.598i 0.213 + 1.342i 17.5 0.507 + 0.129i 0.374 + 0.351i 0.153 + 0.101i 0.128 + 0.361i 1.014 + 0.995i 0.630 + 1.236i 1.268 + 0.595i 0.213 + 1.341i 17.6 0.510 + 0.130i 0.377 + 0.351i 0.154 + 0.102i 0.128 + 0.362i 1.013 + 0.998i 0.629 + 1.238i 1.258 + 0.592i 0.212 + 1.339i 17.7 0.513 + 0.130i 0.379 + 0.351i 0.155 + 0.103i 0.129 + 0.363i 1.012 + 0.999i 0.628 + 1.239i 1.252 + 0.589i 0.211 + 1.339i 17.8 0.516 + 0.131i 0.382 + 0.351i 0.156 + 0.104i 0.129 + 0.364i 1.011 + 1.002i 0.627 + 1.240i 1.244 + 0.587i 0.211 + 1.338i 17.9 0.518 + 0.131i 0.383 + 0.351i 0.156 + 0.105i 0.129 + 0.365i 1.010 + 1.003i 0.625 + 1.241i 1.238 + 0.585i 0.210 + 1.338i 18 0.519 + 0.131i 0.384 + 0.352i 0.157 + 0.106i 0.129 + 0.368i 1.008 + 1.004i 0.624 + 1.243i 1.233 + 0.583i 0.209 + 1.337i 18.1 0.521 + 0.131i 0.386 + 0.354i 0.157 + 0.107i 0.129 + 0.369i 1.007 + 1.006i 0.624 + 1.244i 1.228 + 0.581i 0.209 + 1.336i 18.2 0.522 + 0.132i 0.387 + 0.354i 0.158 + 0.108i 0.129 + 0.371i 1.005 + 1.008i 0.622 + 1.246i 1.223 + 0.579i 0.209 + 1.336i 18.3 0.523 + 0.132i 0.389 + 0.355i 0.158 + 0.110i 0.130 + 0.374i 1.004 + 1.009i 0.621 + 1.246i 1.218 + 0.576i 0.208 + 1.336i 18.4 0.524 + 0.132i 0.390 + 0.356i 0.158 + 0.111i 0.130 + 0.376i 1.002 + 1.011i 0.620 + 1.247i 1.214 + 0.575i 0.208 + 1.336i 18.5 0.525 + 0.132i 0.390 + 0.357i 0.158 + 0.113i 0.130 + 0.379i 0.999 + 1.012i 0.618 + 1.248i 1.210 + 0.572i 0.207 + 1.337i 18.6 0.525 + 0.132i 0.391 + 0.358i 0.158 + 0.114i 0.130 + 0.381i 0.997 + 1.014i 0.616 + 1.250i 1.207 + 0.571i 0.206 + 1.337i 18.7 0.526 + 0.132i 0.392 + 0.359i 0.159 + 0.115i 0.130 + 0.383i 0.993 + 1.017i 0.614 + 1.251i 1.203 + 0.569i 0.206 + 1.337i 18.8 0.527 + 0.133i 0.392 + 0.360i 0.159 + 0.116i 0.130 + 0.385i 0.989 + 1.019i 0.612 + 1.253i 1.198 + 0.567i 0.204 + 1.337i 18.9 0.529 + 0.133i 0.393 + 0.360i 0.159 + 0.117i 0.130 + 0.388i 0.985 + 1.021i 0.608 + 1.255i 1.196 + 0.565i 0.204 + 1.337i 19 0.528 + 0.133i 0.394 + 0.362i 0.159 + 0.119i 0.131 + 0.390i 0.980 + 1.025i 0.605 + 1.257i 1.193 + 0.563i 0.203 + 1.338i 19.1 0.529 + 0.133i 0.395 + 0.363i 0.160 + 0.119i 0.131 + 0.392i 0.976 + 1.028i 0.602 + 1.259i 1.190 + 0.561i 0.201 + 1.338i 19.2 0.530 + 0.134i 0.395 + 0.364i 0.160 + 0.121i 0.131 + 0.394i 0.970 + 1.033i 0.597 + 1.260i 1.187 + 0.558i 0.200 + 1.339i 19.3 0.531 + 0.134i 0.396 + 0.365i 0.160 + 0.122i 0.131 + 0.396i 0.962 + 1.037i 0.592 + 1.263i 1.184 + 0.556i 0.198 + 1.339i 19.4 0.532 + 0.134i 0.396 + 0.365i 0.160 + 0.122i 0.131 + 0.398i 0.956 + 1.042i 0.587 + 1.264i 1.182 + 0.553i 0.196 + 1.340i 19.5 0.534 + 0.134i 0.397 + 0.365i 0.160 + 0.123i 0.131 + 0.399i 0.949 + 1.046i 0.583 + 1.265i 1.179 + 0.551i 0.194 + 1.341i 19.6 0.534 + 0.134i 0.397 + 0.366i 0.161 + 0.125i 0.131 + 0.403i 0.942 + 1.051i 0.578 + 1.267i 1.177 + 0.548i 0.193 + 1.342i 19.7 0.535 + 0.135i 0.398 + 0.367i 0.161 + 0.125i 0.132 + 0.404i 0.935 + 1.057i 0.572 + 1.267i 1.174 + 0.545i 0.191 + 1.342i 19.8 0.535 + 0.135i 0.398 + 0.368i 0.161 + 0.126i 0.132 + 0.406i 0.930 + 1.060i 0.569 + 1.269i 1.171 + 0.541i 0.191 + 1.344i 19.9 0.536 + 0.135i 0.399 + 0.368i 0.161 + 0.128i 0.132 + 0.408i 0.923 + 1.064i 0.564 + 1.270i 1.168 + 0.539i 0.189 + 1.345i 20 0.537 + 0.135i 0.399 + 0.368i 0.161 + 0.128i 0.132 + 0.410i 0.919 + 1.066i 0.562 + 1.270i 1.165 + 0.536i 0.188 + 1.346i

256NUC Normalized values SNR a1 a2 a3 a4 a5 a6 a7 a8 10 1.467 + 0.993i 1.751 + 0.343i 0.887 + 0.534i 1.003 + 0.243i 1.216 + 0.823i 1.435 + 0.289i 0.903 + 0.552i 1.025 + 0.246i 10.1 1.468 + 0.993i 1.753 + 0.345i 0.883 + 0.533i 1.000 + 0.241i 1.215 + 0.823i 1.435 + 0.289i 0.900 + 0.552i 1.023 + 0.244i 10.2 1.472 + 0.994i 1.754 + 0.345i 0.879 + 0.533i 0.997 + 0.240i 1.214 + 0.823i 1.434 + 0.287i 0.897 + 0.552i 1.021 + 0.243i 10.3 1.475 + 0.995i 1.757 + 0.346i 0.876 + 0.533i 0.994 + 0.238i 1.213 + 0.822i 1.434 + 0.287i 0.894 + 0.552i 1.019 + 0.241i 10.4 1.477 + 0.996i 1.759 + 0.346i 0.873 + 0.533i 0.992 + 0.236i 1.211 + 0.822i 1.434 + 0.286i 0.891 + 0.553i 1.017 + 0.239i 10.5 1.481 + 0.997i 1.760 + 0.347i 0.870 + 0.532i 0.990 + 0.235i 1.209 + 0.821i 1.433 + 0.286i 0.889 + 0.553i 1.015 + 0.237i 10.6 1.484 + 0.999i 1.762 + 0.347i 0.867 + 0.532i 0.988 + 0.233i 1.208 + 0.821i 1.432 + 0.285i 0.886 + 0.554i 1.014 + 0.235i 10.7 1.486 + 1.001i 1.764 + 0.348i 0.864 + 0.533i 0.986 + 0.231i 1.206 + 0.821i 1.431 + 0.284i 0.883 + 0.555i 1.013 + 0.233i 10.8 1.488 + 1.002i 1.765 + 0.349i 0.862 + 0.533i 0.985 + 0.229i 1.204 + 0.820i 1.431 + 0.284i 0.881 + 0.555i 1.012 + 0.231i 10.9 1.491 + 1.003i 1.767 + 0.349i 0.859 + 0.533i 0.983 + 0.227i 1.202 + 0.819i 1.429 + 0.283i 0.879 + 0.556i 1.011 + 0.229i 11 1.494 + 1.005i 1.768 + 0.349i 0.857 + 0.535i 0.982 + 0.225i 1.200 + 0.819i 1.429 + 0.282i 0.876 + 0.557i 1.010 + 0.227i 11.1 1.495 + 1.006i 1.770 + 0.350i 0.855 + 0.534i 0.981 + 0.223i 1.198 + 0.819i 1.428 + 0.280i 0.874 + 0.558i 1.009 + 0.225i 11.2 1.497 + 1.007i 1.771 + 0.350i 0.853 + 0.536i 0.980 + 0.221i 1.195 + 0.820i 1.427 + 0.277i 0.873 + 0.560i 1.009 + 0.222i 11.3 1.498 + 1.009i 1.772 + 0.351i 0.850 + 0.536i 0.979 + 0.219i 1.187 + 0.826i 1.427 + 0.268i 0.869 + 0.562i 1.009 + 0.218i 11.4 1.499 + 1.012i 1.775 + 0.353i 0.848 + 0.537i 0.978 + 0.218i 1.174 + 0.838i 1.428 + 0.250i 0.865 + 0.566i 1.009 + 0.213i 11.5 1.501 + 1.016i 1.778 + 0.354i 0.846 + 0.536i 0.976 + 0.216i 1.162 + 0.850i 1.429 + 0.233i 0.862 + 0.569i 1.009 + 0.208i 11.6 1.503 + 1.020i 1.782 + 0.355i 0.843 + 0.535i 0.975 + 0.214i 1.152 + 0.859i 1.430 + 0.220i 0.859 + 0.572i 1.009 + 0.204i 11.7 1.504 + 1.023i 1.785 + 0.356i 0.841 + 0.536i 0.973 + 0.213i 1.144 + 0.867i 1.431 + 0.209i 0.856 + 0.574i 1.008 + 0.200i 11.8 1.505 + 1.028i 1.789 + 0.357i 0.839 + 0.535i 0.971 + 0.211i 1.137 + 0.872i 1.432 + 0.199i 0.853 + 0.576i 1.008 + 0.196i 11.9 1.506 + 1.032i 1.792 + 0.357i 0.837 + 0.534i 0.969 + 0.210i 1.131 + 0.878i 1.432 + 0.191i 0.851 + 0.578i 1.008 + 0.193i 12 1.507 + 1.035i 1.795 + 0.357i 0.834 + 0.534i 0.968 + 0.208i 1.126 + 0.883i 1.432 + 0.183i 0.848 + 0.579i 1.008 + 0.190i 12.1 1.507 + 1.040i 1.798 + 0.358i 0.833 + 0.534i 0.966 + 0.206i 1.121 + 0.888i 1.433 + 0.176i 0.846 + 0.581i 1.008 + 0.187i 12.2 1.507 + 1.043i 1.800 + 0.358i 0.831 + 0.534i 0.965 + 0.205i 1.117 + 0.892i 1.434 + 0.171i 0.844 + 0.581i 1.008 + 0.185i 12.3 1.507 + 1.047i 1.803 + 0.357i 0.829 + 0.534i 0.965 + 0.204i 1.113 + 0.896i 1.434 + 0.165i 0.843 + 0.583i 1.008 + 0.183i 12.4 1.506 + 1.052i 1.805 + 0.358i 0.827 + 0.534i 0.964 + 0.202i 1.109 + 0.900i 1.436 + 0.160i 0.841 + 0.584i 1.009 + 0.180i 12.5 1.505 + 1.057i 1.808 + 0.355i 0.826 + 0.535i 0.963 + 0.201i 1.105 + 0.903i 1.434 + 0.156i 0.840 + 0.585i 1.009 + 0.179i 12.6 1.502 + 1.063i 1.810 + 0.352i 0.825 + 0.536i 0.963 + 0.200i 1.101 + 0.906i 1.434 + 0.152i 0.839 + 0.587i 1.011 + 0.177i 12.7 1.499 + 1.070i 1.812 + 0.349i 0.823 + 0.536i 0.963 + 0.199i 1.098 + 0.910i 1.434 + 0.148i 0.838 + 0.588i 1.012 + 0.176i 12.8 1.342 + 1.283i 1.791 + 0.241i 0.814 + 0.553i 0.982 + 0.199i 1.083 + 0.931i 1.409 + 0.158i 0.855 + 0.616i 1.047 + 0.187i 12.9 1.333 + 1.290i 1.791 + 0.243i 0.810 + 0.560i 0.986 + 0.198i 1.077 + 0.937i 1.413 + 0.155i 0.850 + 0.622i 1.051 + 0.185i 13 1.323 + 1.296i 1.791 + 0.245i 0.804 + 0.567i 0.991 + 0.196i 1.070 + 0.944i 1.418 + 0.151i 0.844 + 0.628i 1.056 + 0.183i 13.1 1.316 + 1.299i 1.791 + 0.246i 0.800 + 0.571i 0.994 + 0.194i 1.065 + 0.947i 1.421 + 0.149i 0.840 + 0.632i 1.060 + 0.181i 13.2 1.308 + 1.303i 1.791 + 0.249i 0.795 + 0.576i 0.999 + 0.192i 1.060 + 0.951i 1.424 + 0.146i 0.835 + 0.637i 1.065 + 0.178i 13.3 1.304 + 1.304i 1.790 + 0.249i 0.792 + 0.579i 1.001 + 0.189i 1.058 + 0.952i 1.425 + 0.144i 0.833 + 0.639i 1.067 + 0.176i 13.4 1.298 + 1.307i 1.789 + 0.250i 0.788 + 0.583i 1.004 + 0.187i 1.054 + 0.955i 1.426 + 0.142i 0.829 + 0.642i 1.072 + 0.174i 13.5 1.290 + 1.310i 1.788 + 0.251i 0.784 + 0.587i 1.008 + 0.184i 1.050 + 0.958i 1.427 + 0.140i 0.825 + 0.646i 1.076 + 0.172i 13.6 1.285 + 1.312i 1.787 + 0.251i 0.781 + 0.589i 1.011 + 0.182i 1.047 + 0.959i 1.428 + 0.139i 0.822 + 0.648i 1.080 + 0.170i 13.7 1.151 + 1.337i 1.759 + 0.218i 0.766 + 0.621i 1.040 + 0.173i 0.999 + 0.966i 1.434 + 0.173i 0.811 + 0.676i 1.122 + 0.179i 13.8 1.147 + 1.339i 1.759 + 0.218i 0.763 + 0.623i 1.042 + 0.171i 0.996 + 0.969i 1.435 + 0.172i 0.808 + 0.679i 1.124 + 0.176i 13.9 1.142 + 1.340i 1.759 + 0.219i 0.761 + 0.627i 1.046 + 0.169i 0.991 + 0.972i 1.436 + 0.173i 0.806 + 0.684i 1.129 + 0.174i 14 1.139 + 1.341i 1.760 + 0.220i 0.759 + 0.629i 1.048 + 0.168i 0.988 + 0.975i 1.436 + 0.172i 0.803 + 0.687i 1.132 + 0.171i 14.1 1.137 + 1.343i 1.760 + 0.221i 0.757 + 0.631i 1.050 + 0.166i 0.985 + 0.977i 1.437 + 0.172i 0.801 + 0.690i 1.135 + 0.169i 14.2 1.134 + 1.344i 1.759 + 0.221i 0.755 + 0.635i 1.052 + 0.164i 0.982 + 0.979i 1.437 + 0.172i 0.799 + 0.694i 1.138 + 0.166i 14.3 1.132 + 1.345i 1.760 + 0.221i 0.753 + 0.636i 1.054 + 0.162i 0.979 + 0.981i 1.437 + 0.173i 0.797 + 0.697i 1.141 + 0.165i 14.4 1.130 + 1.345i 1.760 + 0.222i 0.752 + 0.639i 1.056 + 0.161i 0.976 + 0.982i 1.438 + 0.174i 0.795 + 0.701i 1.144 + 0.162i 14.5 1.128 + 1.346i 1.759 + 0.222i 0.750 + 0.640i 1.057 + 0.159i 0.974 + 0.984i 1.438 + 0.174i 0.794 + 0.704i 1.146 + 0.160i 14.6 1.127 + 1.346i 1.759 + 0.222i 0.749 + 0.643i 1.059 + 0.158i 0.971 + 0.985i 1.438 + 0.175i 0.792 + 0.707i 1.149 + 0.159i 14.7 1.125 + 1.347i 1.759 + 0.222i 0.747 + 0.646i 1.061 + 0.156i 0.968 + 0.987i 1.438 + 0.175i 0.790 + 0.711i 1.151 + 0.157i 14.8 1.124 + 1.347i 1.759 + 0.222i 0.746 + 0.648i 1.063 + 0.155i 0.966 + 0.988i 1.439 + 0.177i 0.789 + 0.714i 1.154 + 0.155i 14.9 1.123 + 1.346i 1.759 + 0.223i 0.745 + 0.649i 1.064 + 0.153i 0.964 + 0.989i 1.439 + 0.177i 0.788 + 0.716i 1.156 + 0.154i 15 1.123 + 1.346i 1.758 + 0.222i 0.744 + 0.651i 1.065 + 0.152i 0.961 + 0.990i 1.439 + 0.178i 0.787 + 0.720i 1.158 + 0.153i 15.1 1.124 + 1.344i 1.758 + 0.222i 0.743 + 0.653i 1.066 + 0.151i 0.959 + 0.991i 1.439 + 0.178i 0.786 + 0.723i 1.159 + 0.151i 15.2 1.125 + 1.342i 1.757 + 0.222i 0.742 + 0.655i 1.067 + 0.149i 0.958 + 0.991i 1.439 + 0.179i 0.785 + 0.726i 1.161 + 0.150i 15.3 1.126 + 1.340i 1.757 + 0.222i 0.740 + 0.657i 1.068 + 0.147i 0.956 + 0.992i 1.438 + 0.179i 0.784 + 0.728i 1.162 + 0.148i 15.4 1.128 + 1.336i 1.756 + 0.222i 0.739 + 0.659i 1.069 + 0.146i 0.954 + 0.992i 1.438 + 0.180i 0.783 + 0.732i 1.163 + 0.147i 15.5 0.543 + 0.298i 0.585 + 0.123i 0.303 + 0.160i 0.321 + 0.107i 0.539 + 0.309i 0.585 + 0.120i 0.303 + 0.162i 0.320 + 0.108i 15.6 0.543 + 0.297i 0.587 + 0.123i 0.311 + 0.160i 0.331 + 0.105i 0.539 + 0.308i 0.587 + 0.119i 0.311 + 0.163i 0.330 + 0.106i 15.7 0.543 + 0.297i 0.589 + 0.123i 0.318 + 0.162i 0.340 + 0.103i 0.539 + 0.309i 0.589 + 0.118i 0.318 + 0.164i 0.339 + 0.104i 15.8 0.543 + 0.297i 0.590 + 0.122i 0.323 + 0.162i 0.346 + 0.101i 0.539 + 0.308i 0.590 + 0.117i 0.323 + 0.165i 0.346 + 0.102i 15.9 0.543 + 0.297i 0.591 + 0.122i 0.328 + 0.164i 0.353 + 0.100i 0.538 + 0.308i 0.591 + 0.116i 0.328 + 0.166i 0.352 + 0.101i 16 0.542 + 0.297i 0.591 + 0.121i 0.332 + 0.165i 0.358 + 0.099i 0.537 + 0.309i 0.592 + 0.115i 0.332 + 0.168i 0.358 + 0.100i 16.1 0.542 + 0.297i 0.592 + 0.121i 0.336 + 0.167i 0.363 + 0.098i 0.536 + 0.309i 0.593 + 0.114i 0.336 + 0.169i 0.363 + 0.099i 16.2 0.542 + 0.297i 0.593 + 0.121i 0.340 + 0.169i 0.368 + 0.097i 0.536 + 0.311i 0.595 + 0.114i 0.340 + 0.171i 0.368 + 0.098i 16.3 0.541 + 0.298i 0.594 + 0.121i 0.343 + 0.171i 0.373 + 0.096i 0.534 + 0.311i 0.595 + 0.113i 0.343 + 0.173i 0.373 + 0.096i 16.4 0.540 + 0.299i 0.594 + 0.121i 0.346 + 0.174i 0.376 + 0.096i 0.533 + 0.313i 0.595 + 0.112i 0.346 + 0.176i 0.377 + 0.096i 16.5 0.540 + 0.299i 0.594 + 0.121i 0.350 + 0.176i 0.381 + 0.095i 0.532 + 0.315i 0.597 + 0.111i 0.350 + 0.178i 0.381 + 0.095i 16.6 0.538 + 0.301i 0.595 + 0.122i 0.353 + 0.179i 0.385 + 0.094i 0.530 + 0.317i 0.597 + 0.110i 0.353 + 0.182i 0.386 + 0.094i 16.7 0.538 + 0.301i 0.596 + 0.122i 0.356 + 0.182i 0.389 + 0.094i 0.528 + 0.319i 0.599 + 0.109i 0.356 + 0.184i 0.389 + 0.094i 16.8 0.537 + 0.303i 0.597 + 0.123i 0.359 + 0.186i 0.393 + 0.094i 0.527 + 0.322i 0.600 + 0.108i 0.359 + 0.189i 0.394 + 0.093i 16.9 0.535 + 0.305i 0.596 + 0.123i 0.362 + 0.190i 0.396 + 0.094i 0.525 + 0.325i 0.600 + 0.108i 0.362 + 0.192i 0.397 + 0.093i 17 0.534 + 0.306i 0.597 + 0.123i 0.364 + 0.193i 0.400 + 0.093i 0.523 + 0.327i 0.600 + 0.106i 0.364 + 0.196i 0.401 + 0.092i 17.1 0.534 + 0.307i 0.596 + 0.124i 0.366 + 0.197i 0.402 + 0.093i 0.521 + 0.350i 0.600 + 0.106i 0.366 + 0.200i 0.403 + 0.091i 17.2 0.533 + 0.307i 0.596 + 0.124i 0.368 + 0.200i 0.403 + 0.093i 0.519 + 0.331i 0.600 + 0.104i 0.367 + 0.203i 0.404 + 0.091i 17.3 0.532 + 0.306i 0.595 + 0.124i 0.368 + 0.201i 0.404 + 0.092i 0.519 + 0.332i 0.600 + 0.103i 0.367 + 0.205i 0.405 + 0.091i 17.4 0.532 + 0.306i 0.595 + 0.124i 0.369 + 0.203i 0.405 + 0.091i 0.517 + 0.333i 0.600 + 0.102i 0.368 + 0.208i 0.406 + 0.090i 17.5 0.532 + 0.306i 0.595 + 0.124i 0.370 + 0.206i 0.406 + 0.091i 0.517 + 0.334i 0.600 + 0.101i 0.369 + 0.210i 0.407 + 0.089i 17.6 0.532 + 0.306i 0.595 + 0.124i 0.370 + 0.206i 0.406 + 0.091i 0.516 + 0.335i 0.600 + 0.100i 0.369 + 0.211i 0.408 + 0.089i 17.7 0.532 + 0.305i 0.594 + 0.124i 0.370 + 0.208i 0.406 + 0.090i 0.515 + 0.335i 0.600 + 0.099i 0.369 + 0.213i 0.407 + 0.088i 17.8 0.531 + 0.304i 0.593 + 0.124i 0.369 + 0.208i 0.405 + 0.090i 0.514 + 0.335i 0.599 + 0.098i 0.368 + 0.213i 0.406 + 0.087i 17.9 0.429 + 0.284i 0.456 + 0.099i 0.247 + 0.251i 0.269 + 0.085i 0.427 + 0.296i 0.456 + 0.095i 0.248 + 0.256i 0.268 + 0.085i 18 0.428 + 0.283i 0.456 + 0.100i 0.248 + 0.251i 0.269 + 0.084i 0.426 + 0.296i 0.456 + 0.095i 0.248 + 0.255i 0.269 + 0.084i 18.1 0.427 + 0.283i 0.456 + 0.100i 0.249 + 0.250i 0.271 + 0.084i 0.426 + 0.296i 0.457 + 0.095i 0.249 + 0.255i 0.271 + 0.084i 18.2 0.428 + 0.282i 0.458 + 0.100i 0.250 + 0.249i 0.273 + 0.084i 0.426 + 0.296i 0.458 + 0.095i 0.250 + 0.254i 0.273 + 0.084i 18.3 0.428 + 0.281i 0.459 + 0.100i 0.252 + 0.248i 0.274 + 0.084i 0.426 + 0.296i 0.460 + 0.094i 0.252 + 0.252i 0.274 + 0.083i 18.4 0.428 + 0.281i 0.459 + 0.100i 0.253 + 0.248i 0.274 + 0.083i 0.426 + 0.296i 0.460 + 0.093i 0.253 + 0.253i 0.274 + 0.083i 18.5 0.424 + 0.279i 0.447 + 0.101i 0.249 + 0.255i 0.266 + 0.085i 0.417 + 0.304i 0.448 + 0.093i 0.247 + 0.270i 0.266 + 0.085i 18.6 0.424 + 0.278i 0.447 + 0.101i 0.250 + 0.254i 0.267 + 0.085i 0.417 + 0.305i 0.449 + 0.092i 0.248 + 0.270i 0.267 + 0.084i 18.7 0.422 + 0.277i 0.450 + 0.102i 0.251 + 0.247i 0.271 + 0.084i 0.412 + 0.307i 0.451 + 0.091i 0.248 + 0.265i 0.271 + 0.083i 18.8 0.423 + 0.277i 0.451 + 0.103i 0.252 + 0.247i 0.273 + 0.084i 0.413 + 0.308i 0.453 + 0.090i 0.250 + 0.266i 0.273 + 0.082i 18.9 0.424 + 0.276i 0.452 + 0.104i 0.254 + 0.246i 0.274 + 0.084i 0.413 + 0.310i 0.454 + 0.089i 0.251 + 0.267i 0.274 + 0.081i 19 0.425 + 0.275i 0.452 + 0.104i 0.254 + 0.246i 0.274 + 0.084i 0.413 + 0.311i 0.454 + 0.088i 0.251 + 0.267i 0.274 + 0.081i 19.1 0.425 + 0.275i 0.452 + 0.105i 0.254 + 0.246i 0.274 + 0.085i 0.412 + 0.312i 0.455 + 0.088i 0.251 + 0.268i 0.274 + 0.080i 19.2 1.299 + 1.010i 1.580 + 0.150i 0.754 + 0.645i 0.955 + 0.116i 1.026 + 0.886i 1.306 + 0.133i 0.828 + 0.758i 1.092 + 0.119i 19.3 1.298 + 1.007i 1.580 + 0.150i 0.754 + 0.645i 0.954 + 0.115i 1.027 + 0.886i 1.308 + 0.133i 0.833 + 0.759i 1.096 + 0.119i 19.4 1.297 + 1.005i 1.581 + 0.150i 0.756 + 0.646i 0.954 + 0.115i 1.028 + 0.886i 1.310 + 0.133i 0.836 + 0.759i 1.099 + 0.118i 19.5 1.297 + 1.002i 1.581 + 0.150i 0.757 + 0.646i 0.953 + 0.113i 1.030 + 0.886i 1.313 + 0.133i 0.841 + 0.760i 1.103 + 0.118i 19.6 1.297 + 1.000i 1.580 + 0.149i 0.757 + 0.647i 0.953 + 0.113i 1.032 + 0.886i 1.313 + 0.133i 0.845 + 0.760i 1.105 + 0.117i 19.7 1.296 + 0.997i 1.580 + 0.149i 0.758 + 0.648i 0.953 + 0.113i 1.033 + 0.886i 1.314 + 0.132i 0.850 + 0.761i 1.107 + 0.117i 19.8 1.297 + 0.995i 1.579 + 0.149i 0.759 + 0.649i 0.953 + 0.113i 1.036 + 0.886i 1.316 + 0.132i 0.854 + 0.761i 1.110 + 0.117i 19.9 1.297 + 0.993i 1.579 + 0.148i 0.759 + 0.650i 0.953 + 0.112i 1.037 + 0.886i 1.317 + 0.132i 0.858 + 0.761i 1.112 + 0.116i 20 1.297 + 0.990i 1.579 + 0.148i 0.760 + 0.651i 0.954 + 0.112i 1.039 + 0.886i 1.319 + 0.133i 0.862 + 0.762i 1.114 + 0.116i 20.1 1.297 + 0.988i 1.578 + 0.147i 0.761 + 0.652i 0.955 + 0.112i 1.040 + 0.888i 1.319 + 0.132i 0.866 + 0.762i 1.116 + 0.116i 20.2 1.298 + 0.986i 1.579 + 0.147i 0.761 + 0.653i 0.956 + 0.112i 1.042 + 0.888i 1.321 + 0.132i 0.870 + 0.763i 1.118 + 0.116i 20.3 1.298 + 0.984i 1.578 + 0.146i 0.762 + 0.655i 0.957 + 0.112i 1.043 + 0.889i 1.322 + 0.132i 0.874 + 0.764i 1.121 + 0.116i 20.4 1.299 + 0.982i 1.577 + 0.146i 0.763 + 0.656i 0.958 + 0.112i 1.045 + 0.891i 1.323 + 0.132i 0.877 + 0.764i 1.122 + 0.116i 20.5 1.291 + 0.967i 1.571 + 0.144i 0.790 + 0.634i 0.945 + 0.100i 1.039 + 0.877i 1.321 + 0.128i 0.872 + 0.753i 1.120 + 0.108i 20.6 1.290 + 0.965i 1.569 + 0.144i 0.792 + 0.635i 0.945 + 0.100i 1.039 + 0.878i 1.321 + 0.128i 0.873 + 0.755i 1.121 + 0.108i 20.7 1.289 + 0.962i 1.568 + 0.143i 0.795 + 0.634i 0.946 + 0.099i 1.038 + 0.879i 1.321 + 0.128i 0.874 + 0.756i 1.122 + 0.107i 20.8 1.271 + 0.972i 1.582 + 0.150i 0.834 + 0.630i 0.953 + 0.098i 0.995 + 0.902i 1.334 + 0.118i 0.810 + 0.782i 1.130 + 0.102i 20.9 1.268 + 0.972i 1.581 + 0.150i 0.838 + 0.631i 0.954 + 0.097i 0.993 + 0.904i 1.335 + 0.117i 0.808 + 0.785i 1.131 + 0.102i 21 1.266 + 0.970i 1.579 + 0.150i 0.841 + 0.632i 0.956 + 0.097i 0.991 + 0.905i 1.335 + 0.117i 0.806 + 0.787i 1.133 + 0.102i 21.1 1.265 + 0.969i 1.578 + 0.149i 0.846 + 0.633i 0.957 + 0.097i 0.990 + 0.905i 1.335 + 0.116i 0.804 + 0.788i 1.133 + 0.101i 21.2 1.262 + 0.971i 1.577 + 0.149i 0.853 + 0.634i 0.959 + 0.097i 0.985 + 0.903i 1.335 + 0.115i 0.797 + 0.789i 1.134 + 0.101i 21.3 1.259 + 0.972i 1.575 + 0.148i 0.857 + 0.636i 0.961 + 0.097i 0.983 + 0.903i 1.335 + 0.115i 0.795 + 0.790i 1.135 + 0.101i 21.4 1.256 + 0.974i 1.574 + 0.147i 0.862 + 0.637i 0.962 + 0.096i 0.980 + 0.903i 1.335 + 0.115i 0.791 + 0.792i 1.137 + 0.100i 21.5 1.253 + 0.974i 1.572 + 0.147i 0.866 + 0.638i 0.963 + 0.096i 0.980 + 0.903i 1.335 + 0.114i 0.790 + 0.793i 1.137 + 0.100i 21.6 1.250 + 0.975i 1.570 + 0.146i 0.870 + 0.640i 0.964 + 0.096i 0.978 + 0.903i 1.334 + 0.114i 0.788 + 0.794i 1.138 + 0.100i 21.7 1.248 + 0.975i 1.568 + 0.145i 0.874 + 0.641i 0.965 + 0.096i 0.977 + 0.902i 1.334 + 0.113i 0.788 + 0.795i 1.138 + 0.099i 21.8 1.244 + 0.975i 1.566 + 0.145i 0.878 + 0.642i 0.966 + 0.096i 0.976 + 0.902i 1.333 + 0.112i 0.786 + 0.796i 1.139 + 0.099i 21.9 1.240 + 0.977i 1.564 + 0.143i 0.883 + 0.643i 0.967 + 0.095i 0.975 + 0.902i 1.333 + 0.112i 0.786 + 0.796i 1.139 + 0.099i 22 1.235 + 0.978i 1.562 + 0.143i 0.886 + 0.644i 0.969 + 0.095i 0.973 + 0.902i 1.333 + 0.111i 0.785 + 0.797i 1.140 + 0.098i 22.1 1.231 + 0.979i 1.561 + 0.142i 0.890 + 0.645i 0.970 + 0.095i 0.972 + 0.902i 1.332 + 0.111i 0.785 + 0.798i 1.140 + 0.098i 22.2 1.227 + 0.980i 1.559 + 0.141i 0.895 + 0.646i 0.971 + 0.095i 0.972 + 0.902i 1.332 + 0.111i 0.785 + 0.798i 1.141 + 0.098i 22.3 1.221 + 0.982i 1.557 + 0.140i 0.899 + 0.648i 0.973 + 0.095i 0.969 + 0.903i 1.331 + 0.110i 0.783 + 0.798i 1.142 + 0.098i 22.4 1.201 + 0.994i 1.556 + 0.140i 0.907 + 0.649i 0.975 + 0.094i 0.959 + 0.901i 1.332 + 0.110i 0.773 + 0.789i 1.143 + 0.097i 22.5 1.194 + 0.996i 1.555 + 0.139i 0.910 + 0.650i 0.976 + 0.094i 0.956 + 0.902i 1.332 + 0.109i 0.771 + 0.789i 1.144 + 0.097i 22.6 0.333 + 0.340i 0.329 + 0.201i 0.199 + 0.343i 0.195 + 0.204i 0.337 + 0.486i 0.327 + 0.066i 0.200 + 0.488i 0.192 + 0.068i 22.7 0.334 + 0.341i 0.330 + 0.202i 0.199 + 0.344i 0.195 + 0.204i 0.338 + 0.487i 0.327 + 0.066i 0.201 + 0.490i 0.192 + 0.068i 22.8 0.335 + 0.342i 0.330 + 0.202i 0.199 + 0.345i 0.196 + 0.205i 0.339 + 0.488i 0.329 + 0.067i 0.202 + 0.490i 0.194 + 0.068i 22.9 0.336 + 0.343i 0.332 + 0.203i 0.200 + 0.346i 0.197 + 0.205i 0.340 + 0.489i 0.331 + 0.067i 0.202 + 0.492i 0.194 + 0.068i 23 0.337 + 0.343i 0.333 + 0.203i 0.201 + 0.346i 0.197 + 0.205i 0.342 + 0.490i 0.331 + 0.067i 0.203 + 0.492i 0.195 + 0.068i 23.1 0.338 + 0.344i 0.334 + 0.203i 0.202 + 0.347i 0.198 + 0.206i 0.343 + 0.491i 0.333 + 0.067i 0.204 + 0.493i 0.196 + 0.068i 23.2 0.339 + 0.345i 0.336 + 0.204i 0.203 + 0.347i 0.199 + 0.206i 0.344 + 0.492i 0.334 + 0.067i 0.204 + 0.493i 0.197 + 0.068i 23.3 0.339 + 0.346i 0.336 + 0.204i 0.203 + 0.347i 0.200 + 0.206i 0.344 + 0.493i 0.336 + 0.067i 0.204 + 0.494i 0.198 + 0.068i 23.4 0.346 + 0.344i 0.343 + 0.204i 0.207 + 0.342i 0.204 + 0.204i 0.349 + 0.488i 0.343 + 0.067i 0.207 + 0.486i 0.203 + 0.067i 23.5 0.346 + 0.345i 0.344 + 0.204i 0.207 + 0.343i 0.204 + 0.204i 0.349 + 0.489i 0.344 + 0.067i 0.207 + 0.487i 0.204 + 0.068i 23.6 0.347 + 0.346i 0.344 + 0.205i 0.207 + 0.345i 0.205 + 0.205i 0.351 + 0.490i 0.344 + 0.068i 0.208 + 0.488i 0.204 + 0.068i 23.7 0.347 + 0.347i 0.344 + 0.206i 0.207 + 0.346i 0.205 + 0.206i 0.351 + 0.491i 0.344 + 0.068i 0.208 + 0.490i 0.204 + 0.068i 23.8 0.348 + 0.348i 0.345 + 0.206i 0.208 + 0.346i 0.206 + 0.206i 0.352 + 0.492i 0.345 + 0.068i 0.208 + 0.490i 0.204 + 0.068i 23.9 0.348 + 0.349i 0.345 + 0.208i 0.208 + 0.348i 0.205 + 0.208i 0.354 + 0.493i 0.345 + 0.069i 0.209 + 0.493i 0.204 + 0.069i 24 0.349 + 0.349i 0.346 + 0.208i 0.208 + 0.349i 0.206 + 0.208i 0.354 + 0.494i 0.346 + 0.069i 0.209 + 0.493i 0.205 + 0.069i 24.1 0.350 + 0.350i 0.347 + 0.208i 0.209 + 0.349i 0.207 + 0.208i 0.355 + 0.495i 0.347 + 0.069i 0.210 + 0.493i 0.205 + 0.069i 24.2 0.350 + 0.351i 0.347 + 0.209i 0.209 + 0.349i 0.207 + 0.208i 0.356 + 0.496i 0.347 + 0.069i 0.210 + 0.493i 0.206 + 0.069i 24.3 0.351 + 0.351i 0.348 + 0.209i 0.210 + 0.349i 0.207 + 0.208i 0.357 + 0.497i 0.348 + 0.069i 0.212 + 0.493i 0.207 + 0.069i 24.4 0.352 + 0.352i 0.349 + 0.209i 0.210 + 0.349i 0.208 + 0.208i 0.358 + 0.497i 0.349 + 0.069i 0.212 + 0.493i 0.207 + 0.069i 24.5 0.352 + 0.352i 0.349 + 0.209i 0.210 + 0.350i 0.208 + 0.209i 0.359 + 0.498i 0.351 + 0.069i 0.213 + 0.493i 0.209 + 0.069i 24.6 0.353 + 0.353i 0.349 + 0.210i 0.210 + 0.351i 0.208 + 0.209i 0.360 + 0.498i 0.351 + 0.069i 0.214 + 0.494i 0.209 + 0.069i 24.7 0.353 + 0.354i 0.349 + 0.210i 0.210 + 0.351i 0.208 + 0.209i 0.361 + 0.499i 0.351 + 0.069i 0.214 + 0.494i 0.209 + 0.069i 24.8 0.353 + 0.354i 0.350 + 0.210i 0.210 + 0.351i 0.209 + 0.210i 0.361 + 0.499i 0.353 + 0.069i 0.214 + 0.494i 0.210 + 0.069i 24.9 0.354 + 0.354i 0.350 + 0.211i 0.210 + 0.351i 0.209 + 0.210i 0.362 + 0.500i 0.354 + 0.070i 0.215 + 0.494i 0.210 + 0.069i 25 0.354 + 0.355i 0.351 + 0.211i 0.210 + 0.350i 0.210 + 0.209i 0.363 + 0.500i 0.355 + 0.070i 0.215 + 0.494i 0.211 + 0.069i Normalized values SNR a9 a10 a11 a12 a13 a14 a15 a16 10 0.969 + 1.486i 0.340 + 1.742i 0.532 + 0.884i 0.243 + 0.996i 0.802 + 1.214i 0.275 + 1.422i 0.547 + 0.902i 0.243 + 1.017i 10.1 0.970 + 1.487i 0.341 + 1.743i 0.531 + 0.881i 0.241 + 0.993i 0.804 + 1.214i 0.275 + 1.424i 0.546 + 0.899i 0.241 + 1.015i 10.2 0.971 + 1.488i 0.342 + 1.744i 0.530 + 0.878i 0.239 + 0.990i 0.805 + 1.213i 0.274 + 1.425i 0.547 + 0.897i 0.240 + 1.013i 10.3 0.972 + 1.489i 0.343 + 1.746i 0.529 + 0.875i 0.237 + 0.988i 0.807 + 1.213i 0.273 + 1.426i 0.546 + 0.894i 0.238 + 1.011i 10.4 0.973 + 1.490i 0.345 + 1.747i 0.529 + 0.872i 0.235 + 0.985i 0.807 + 1.211i 0.273 + 1.427i 0.547 + 0.891i 0.236 + 1.009i 10.5 0.974 + 1.492i 0.346 + 1.748i 0.529 + 0.870i 0.233 + 0.983i 0.808 + 1.210i 0.273 + 1.427i 0.547 + 0.889i 0.234 + 1.008i 10.6 0.975 + 1.493i 0.347 + 1.750i 0.529 + 0.867i 0.231 + 0.981i 0.809 + 1.209i 0.271 + 1.427i 0.548 + 0.886i 0.231 + 1.007i 10.7 0.975 + 1.495i 0.349 + 1.752i 0.529 + 0.865i 0.230 + 0.979i 0.809 + 1.208i 0.271 + 1.427i 0.548 + 0.885i 0.230 + 1.005i 10.8 0.977 + 1.496i 0.350 + 1.754i 0.529 + 0.862i 0.228 + 0.977i 0.810 + 1.207i 0.270 + 1.427i 0.549 + 0.882i 0.228 + 1.004i 10.9 0.978 + 1.497i 0.352 + 1.755i 0.529 + 0.860i 0.226 + 0.976i 0.810 + 1.205i 0.270 + 1.428i 0.549 + 0.880i 0.226 + 1.003i 11 0.978 + 1.498i 0.352 + 1.756i 0.530 + 0.858i 0.225 + 0.975i 0.811 + 1.204i 0.269 + 1.427i 0.550 + 0.878i 0.224 + 1.003i 11.1 0.979 + 1.499i 0.354 + 1.758i 0.531 + 0.856i 0.223 + 0.974i 0.812 + 1.202i 0.268 + 1.427i 0.552 + 0.876i 0.222 + 1.002i 11.2 0.980 + 1.500i 0.355 + 1.759i 0.531 + 0.853i 0.221 + 0.973i 0.814 + 1.199i 0.264 + 1.426i 0.553 + 0.874i 0.220 + 1.001i 11.3 0.980 + 1.501i 0.356 + 1.760i 0.531 + 0.852i 0.219 + 0.971i 0.820 + 1.193i 0.257 + 1.427i 0.556 + 0.871i 0.216 + 1.001i 11.4 0.982 + 1.504i 0.356 + 1.762i 0.532 + 0.849i 0.217 + 0.970i 0.832 + 1.182i 0.242 + 1.428i 0.559 + 0.867i 0.211 + 1.001i 11.5 0.984 + 1.506i 0.357 + 1.765i 0.531 + 0.847i 0.215 + 0.967i 0.843 + 1.171i 0.227 + 1.430i 0.563 + 0.862i 0.205 + 1.000i 11.6 0.986 + 1.509i 0.357 + 1.768i 0.531 + 0.843i 0.213 + 0.965i 0.852 + 1.163i 0.214 + 1.432i 0.566 + 0.859i 0.201 + 1.000i 11.7 0.990 + 1.511i 0.358 + 1.772i 0.530 + 0.841i 0.211 + 0.963i 0.859 + 1.156i 0.204 + 1.434i 0.569 + 0.856i 0.196 + 1.000i 11.8 0.992 + 1.512i 0.358 + 1.775i 0.530 + 0.838i 0.209 + 0.962i 0.865 + 1.149i 0.196 + 1.435i 0.571 + 0.853i 0.193 + 0.999i 11.9 0.995 + 1.514i 0.359 + 1.777i 0.530 + 0.836i 0.208 + 0.960i 0.870 + 1.144i 0.188 + 1.435i 0.573 + 0.850i 0.190 + 0.998i 12 0.998 + 1.515i 0.360 + 1.780i 0.530 + 0.834i 0.206 + 0.958i 0.875 + 1.139i 0.181 + 1.437i 0.574 + 0.848i 0.187 + 0.998i 12.1 1.000 + 1.516i 0.361 + 1.782i 0.529 + 0.832i 0.204 + 0.957i 0.878 + 1.135i 0.176 + 1.439i 0.576 + 0.845i 0.184 + 0.998i 12.2 1.002 + 1.517i 0.361 + 1.785i 0.530 + 0.830i 0.203 + 0.956i 0.882 + 1.130i 0.170 + 1.440i 0.577 + 0.843i 0.181 + 0.998i 12.3 1.003 + 1.517i 0.362 + 1.786i 0.529 + 0.828i 0.201 + 0.955i 0.884 + 1.127i 0.166 + 1.440i 0.578 + 0.841i 0.179 + 0.997i 12.4 1.004 + 1.518i 0.362 + 1.787i 0.529 + 0.826i 0.199 + 0.954i 0.886 + 1.124i 0.161 + 1.442i 0.579 + 0.840i 0.177 + 0.997i 12.5 1.004 + 1.520i 0.362 + 1.788i 0.529 + 0.825i 0.198 + 0.953i 0.889 + 1.121i 0.158 + 1.442i 0.580 + 0.837i 0.174 + 0.996i 12.6 1.003 + 1.520i 0.362 + 1.789i 0.529 + 0.823i 0.196 + 0.952i 0.889 + 1.119i 0.154 + 1.443i 0.581 + 0.836i 0.172 + 0.996i 12.7 1.002 + 1.521i 0.362 + 1.789i 0.529 + 0.822i 0.195 + 0.951i 0.890 + 1.117i 0.151 + 1.443i 0.582 + 0.835i 0.170 + 0.995i 12.8 0.863 + 1.544i 0.312 + 1.752i 0.524 + 0.813i 0.186 + 0.927i 0.829 + 1.112i 0.154 + 1.397i 0.578 + 0.837i 0.168 + 0.964i 12.9 0.856 + 1.547i 0.308 + 1.751i 0.519 + 0.813i 0.184 + 0.924i 0.826 + 1.113i 0.151 + 1.395i 0.573 + 0.838i 0.166 + 0.962i 13 0.850 + 1.551i 0.304 + 1.749i 0.513 + 0.813i 0.181 + 0.921i 0.821 + 1.114i 0.148 + 1.391i 0.567 + 0.838i 0.164 + 0.959i 13.1 0.847 + 1.553i 0.303 + 1.748i 0.510 + 0.813i 0.179 + 0.920i 0.820 + 1.113i 0.144 + 1.391i 0.564 + 0.838i 0.161 + 0.958i 13.2 0.842 + 1.555i 0.301 + 1.748i 0.506 + 0.812i 0.177 + 0.918i 0.817 + 1.113i 0.141 + 1.391i 0.559 + 0.838i 0.159 + 0.956i 13.3 0.841 + 1.556i 0.302 + 1.747i 0.506 + 0.812i 0.176 + 0.917i 0.818 + 1.111i 0.138 + 1.394i 0.558 + 0.837i 0.158 + 0.955i 13.4 0.837 + 1.556i 0.304 + 1.747i 0.502 + 0.811i 0.173 + 0.916i 0.818 + 1.110i 0.135 + 1.399i 0.555 + 0.836i 0.156 + 0.953i 13.5 0.833 + 1.555i 0.306 + 1.747i 0.501 + 0.810i 0.172 + 0.915i 0.816 + 1.109i 0.133 + 1.406i 0.553 + 0.835i 0.154 + 0.951i 13.6 0.831 + 1.552i 0.314 + 1.748i 0.500 + 0.809i 0.170 + 0.914i 0.817 + 1.108i 0.131 + 1.421i 0.551 + 0.833i 0.152 + 0.948i 13.7 0.735 + 1.301i 0.633 + 1.698i 0.480 + 0.811i 0.145 + 0.870i 0.729 + 1.116i 0.215 + 1.767i 0.515 + 0.832i 0.143 + 0.870i 13.8 0.735 + 1.305i 0.631 + 1.697i 0.480 + 0.809i 0.143 + 0.869i 0.729 + 1.115i 0.214 + 1.765i 0.515 + 0.832i 0.141 + 0.869i 13.9 0.733 + 1.308i 0.630 + 1.697i 0.480 + 0.808i 0.142 + 0.866i 0.728 + 1.116i 0.213 + 1.761i 0.515 + 0.832i 0.139 + 0.866i 14 0.733 + 1.311i 0.628 + 1.696i 0.480 + 0.807i 0.140 + 0.865i 0.727 + 1.115i 0.212 + 1.758i 0.515 + 0.832i 0.138 + 0.865i 14.1 0.733 + 1.315i 0.626 + 1.696i 0.480 + 0.806i 0.139 + 0.864i 0.727 + 1.114i 0.211 + 1.754i 0.516 + 0.832i 0.136 + 0.863i 14.2 0.732 + 1.318i 0.625 + 1.696i 0.480 + 0.806i 0.137 + 0.862i 0.727 + 1.115i 0.210 + 1.750i 0.516 + 0.832i 0.135 + 0.861i 14.3 0.732 + 1.322i 0.623 + 1.694i 0.480 + 0.804i 0.136 + 0.861i 0.728 + 1.113i 0.208 + 1.747i 0.517 + 0.832i 0.133 + 0.860i 14.4 0.732 + 1.325i 0.622 + 1.694i 0.481 + 0.804i 0.135 + 0.859i 0.728 + 1.113i 0.208 + 1.744i 0.517 + 0.832i 0.132 + 0.858i 14.5 0.733 + 1.330i 0.619 + 1.694i 0.481 + 0.803i 0.134 + 0.858i 0.729 + 1.112i 0.206 + 1.740i 0.518 + 0.832i 0.131 + 0.857i 14.6 0.734 + 1.334i 0.618 + 1.694i 0.481 + 0.803i 0.132 + 0.857i 0.729 + 1.111i 0.205 + 1.736i 0.519 + 0.833i 0.129 + 0.856i 14.7 0.733 + 1.338i 0.615 + 1.693i 0.482 + 0.802i 0.132 + 0.855i 0.729 + 1.111i 0.204 + 1.732i 0.520 + 0.832i 0.129 + 0.853i 14.8 0.734 + 1.341i 0.613 + 1.693i 0.482 + 0.801i 0.130 + 0.854i 0.730 + 1.111i 0.202 + 1.727i 0.520 + 0.833i 0.127 + 0.852i 14.9 0.735 + 1.346i 0.609 + 1.692i 0.482 + 0.800i 0.130 + 0.853i 0.731 + 1.110i 0.201 + 1.723i 0.521 + 0.832i 0.126 + 0.851i 15 0.736 + 1.351i 0.605 + 1.693i 0.483 + 0.800i 0.129 + 0.852i 0.732 + 1.109i 0.199 + 1.719i 0.522 + 0.833i 0.125 + 0.850i 15.1 0.738 + 1.356i 0.600 + 1.692i 0.483 + 0.799i 0.128 + 0.851i 0.733 + 1.108i 0.197 + 1.715i 0.523 + 0.832i 0.124 + 0.849i 15.2 0.740 + 1.361i 0.596 + 1.692i 0.483 + 0.798i 0.127 + 0.850i 0.734 + 1.108i 0.195 + 1.711i 0.524 + 0.832i 0.123 + 0.848i 15.3 0.743 + 1.367i 0.590 + 1.692i 0.484 + 0.797i 0.127 + 0.849i 0.736 + 1.107i 0.193 + 1.705i 0.525 + 0.832i 0.123 + 0.847i 15.4 0.747 + 1.375i 0.582 + 1.693i 0.484 + 0.796i 0.127 + 0.847i 0.737 + 1.108i 0.190 + 1.700i 0.526 + 0.832i 0.122 + 0.845i 15.5 0.626 + 0.351i 0.700 + 0.142i 0.155 + 0.120i 0.149 + 0.104i 0.614 + 0.372i 0.704 + 0.125i 0.154 + 0.121i 0.149 + 0.104i 15.6 0.633 + 0.354i 0.709 + 0.144i 0.151 + 0.117i 0.145 + 0.102i 0.618 + 0.377i 0.713 + 0.123i 0.150 + 0.119i 0.145 + 0.102i 15.7 0.638 + 0.357i 0.716 + 0.146i 0.148 + 0.115i 0.142 + 0.100i 0.621 + 0.381i 0.721 + 0.123i 0.148 + 0.116i 0.142 + 0.100i 15.8 0.643 + 0.358i 0.723 + 0.148i 0.146 + 0.114i 0.139 + 0.099i 0.624 + 0.385i 0.728 + 0.122i 0.145 + 0.115i 0.139 + 0.099i 15.9 0.647 + 0.361i 0.728 + 0.150i 0.144 + 0.112i 0.137 + 0.098i 0.628 + 0.388i 0.734 + 0.121i 0.143 + 0.114i 0.137 + 0.098i 16 0.651 + 0.363i 0.733 + 0.152i 0.143 + 0.111i 0.136 + 0.097i 0.630 + 0.393i 0.739 + 0.120i 0.142 + 0.112i 0.136 + 0.097i 16.1 0.654 + 0.364i 0.737 + 0.154i 0.142 + 0.111i 0.134 + 0.096i 0.631 + 0.396i 0.743 + 0.119i 0.141 + 0.111i 0.134 + 0.096i 16.2 0.657 + 0.366i 0.740 + 0.155i 0.142 + 0.110i 0.134 + 0.094i 0.633 + 0.400i 0.747 + 0.118i 0.140 + 0.111i 0.133 + 0.094i 16.3 0.660 + 0.368i 0.742 + 0.158i 0.141 + 0.109i 0.133 + 0.094i 0.634 + 0.404i 0.750 + 0.117i 0.140 + 0.110i 0.133 + 0.094i 16.4 0.662 + 0.369i 0.744 + 0.160i 0.142 + 0.109i 0.133 + 0.093i 0.634 + 0.407i 0.752 + 0.116i 0.140 + 0.110i 0.133 + 0.093i 16.5 0.665 + 0.370i 0.746 + 0.162i 0.143 + 0.108i 0.134 + 0.092i 0.635 + 0.411i 0.755 + 0.115i 0.141 + 0.109i 0.133 + 0.092i 16.6 0.666 + 0.371i 0.748 + 0.164i 0.144 + 0.107i 0.135 + 0.091i 0.635 + 0.415i 0.757 + 0.113i 0.143 + 0.108i 0.135 + 0.091i 16.7 0.668 + 0.372i 0.750 + 0.167i 0.145 + 0.107i 0.136 + 0.090i 0.635 + 0.419i 0.759 + 0.113i 0.143 + 0.107i 0.135 + 0.089i 16.8 0.670 + 0.374i 0.750 + 0.169i 0.147 + 0.106i 0.138 + 0.089i 0.634 + 0.424i 0.760 + 0.111i 0.146 + 0.106i 0.138 + 0.089i 16.9 0.671 + 0.375i 0.751 + 0.172i 0.149 + 0.105i 0.140 + 0.088i 0.634 + 0.428i 0.761 + 0.111i 0.147 + 0.105i 0.140 + 0.087i 17 0.673 + 0.375i 0.751 + 0.174i 0.151 + 0.105i 0.141 + 0.087i 0.634 + 0.431i 0.762 + 0.109i 0.150 + 0.105i 0.142 + 0.086i 17.1 0.673 + 0.376i 0.751 + 0.176i 0.152 + 0.104i 0.143 + 0.086i 0.633 + 0.435i 0.762 + 0.108i 0.150 + 0.104i 0.144 + 0.086i 17.2 0.675 + 0.375i 0.752 + 0.178i 0.152 + 0.104i 0.144 + 0.086i 0.633 + 0.438i 0.763 + 0.106i 0.151 + 0.104i 0.145 + 0.085i 17.3 0.678 + 0.374i 0.753 + 0.180i 0.153 + 0.104i 0.144 + 0.085i 0.633 + 0.440i 0.764 + 0.105i 0.152 + 0.104i 0.145 + 0.084i 17.4 0.679 + 0.374i 0.753 + 0.181i 0.153 + 0.104i 0.144 + 0.084i 0.633 + 0.442i 0.765 + 0.103i 0.152 + 0.104i 0.145 + 0.084i 17.5 0.681 + 0.373i 0.753 + 0.183i 0.153 + 0.104i 0.144 + 0.084i 0.634 + 0.444i 0.766 + 0.102i 0.152 + 0.104i 0.145 + 0.084i 17.6 0.683 + 0.372i 0.754 + 0.184i 0.153 + 0.105i 0.143 + 0.084i 0.634 + 0.446i 0.767 + 0.101i 0.152 + 0.105i 0.145 + 0.084i 17.7 0.684 + 0.371i 0.754 + 0.186i 0.152 + 0.105i 0.142 + 0.084i 0.634 + 0.447i 0.768 + 0.099i 0.152 + 0.105i 0.145 + 0.083i 17.8 0.685 + 0.370i 0.754 + 0.187i 0.152 + 0.106i 0.141 + 0.084i 0.633 + 0.449i 0.767 + 0.098i 0.152 + 0.106i 0.144 + 0.083i 17.9 0.596 + 0.319i 0.631 + 0.129i 0.093 + 0.241i 0.093 + 0.083i 0.582 + 0.355i 0.633 + 0.101i 0.093 + 0.243i 0.093 + 0.083i 18 0.598 + 0.318i 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0.623i 0.127 + 1.555i 1.224 + 1.078i 0.430 + 1.598i 18.5 0.595 + 0.730i 0.463 + 0.891i 1.007 + 1.278i 0.738 + 1.438i 0.673 + 0.611i 0.138 + 1.564i 1.242 + 1.058i 0.444 + 1.571i 18.6 0.593 + 0.732i 0.464 + 0.890i 1.009 + 1.275i 0.740 + 1.436i 0.672 + 0.511i 0.139 + 1.565i 1.242 + 1.054i 0.445 + 1.569i 18.7 0.577 + 0.733i 0.466 + 0.873i 1.016 + 1.265i 0.752 + 1.427i 0.659 + 0.612i 0.151 + 1.600i 1.243 + 1.042i 0.465 + 1.568i 18.8 0.574 + 0.737i 0.463 + 0.875i 1.016 + 1.261i 0.754 + 1.424i 0.658 + 0.614i 0.153 + 1.606i 1.241 + 1.039i 0.468 + 1.567i 18.9 0.573 + 0.739i 0.463 + 0.875i 1.016 + 1.260i 0.754 + 1.423i 0.658 + 0.614i 0.153 + 1.606i 1.239 + 1.037i 0.468 + 1.566i 19 0.572 + 0.740i 0.462 + 0.876i 1.016 + 1.257i 0.756 + 1.421i 0.658 + 0.614i 0.154 + 1.607i 1.238 + 1.034i 0.470 + 1.566i 19.1 0.572 + 0.742i 0.462 + 0.877i 1.015 + 1.256i 0.756 + 1.420i 0.659 + 0.615i 0.154 + 1.606i 1.237 + 1.033i 0.470 + 1.565i 19.2 0.235 + 0.324i 0.081 + 0.342i 0.267 + 0.515i 0.105 + 0.544i 0.242 + 0.330i 0.077 + 0.341i 0.305 + 0.503i 0.085 + 0.547i 19.3 0.234 + 0.324i 0.080 + 0.342i 0.267 + 0.515i 0.106 + 0.544i 0.243 + 0.330i 0.077 + 0.341i 0.306 + 0.503i 0.085 + 0.548i 19.4 0.234 + 0.324i 0.080 + 0.341i 0.266 + 0.516i 0.106 + 0.544i 0.243 + 0.330i 0.077 + 0.341i 0.307 + 0.503i 0.084 + 0.547i 19.5 0.234 + 0.323i 0.080 + 0.341i 0.265 + 0.517i 0.107 + 0.544i 0.243 + 0.330i 0.076 + 0.341i 0.307 + 0.502i 0.082 + 0.547i 19.6 0.234 + 0.323i 0.080 + 0.340i 0.264 + 0.518i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.307 + 0.502i 0.082 + 0.547i 19.7 0.234 + 0.322i 0.080 + 0.339i 0.263 + 0.518i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.308 + 0.502i 0.081 + 0.547i 19.8 0.234 + 0.321i 0.080 + 0.338i 0.262 + 0.519i 0.107 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.309 + 0.502i 0.080 + 0.547i 19.9 0.233 + 0.320i 0.080 + 0.338i 0.262 + 0.519i 0.108 + 0.543i 0.242 + 0.330i 0.076 + 0.340i 0.310 + 0.501i 0.079 + 0.546i 20 0.233 + 0.320i 0.080 + 0.337i 0.262 + 0.520i 0.109 + 0.544i 0.242 + 0.330i 0.076 + 0.340i 0.311 + 0.501i 0.079 + 0.547i 20.1 0.233 + 0.319i 0.080 + 0.336i 0.261 + 0.520i 0.110 + 0.544i 0.243 + 0.330i 0.075 + 0.340i 0.312 + 0.500i 0.078 + 0.546i 20.2 0.233 + 0.318i 0.081 + 0.336i 0.262 + 0.520i 0.111 + 0.543i 0.243 + 0.330i 0.075 + 0.341i 0.314 + 0.500i 0.077 + 0.546i 20.3 0.234 + 0.317i 0.081 + 0.334i 0.262 + 0.521i 0.112 + 0.543i 0.245 + 0.331i 0.076 + 0.342i 0.315 + 0.499i 0.076 + 0.545i 20.4 0.234 + 0.315i 0.081 + 0.332i 0.262 + 0.522i 0.116 + 0.546i 0.246 + 0.333i 0.076 + 0.347i 0.317 + 0.498i 0.075 + 0.544i 20.5 0.235 + 0.337i 0.097 + 0.384i 0.289 + 0.566i 0.165 + 0.600i 0.294 + 0.394i 0.076 + 0.445i 0.359 + 0.510i 0.075 + 0.594i 20.6 0.236 + 0.338i 0.099 + 0.387i 0.291 + 0.568i 0.168 + 0.602i 0.299 + 0.396i 0.076 + 0.449i 0.362 + 0.510i 0.075 + 0.597i 20.7 0.237 + 0.340i 0.101 + 0.391i 0.291 + 0.569i 0.171 + 0.602i 0.304 + 0.398i 0.075 + 0.453i 0.366 + 0.510i 0.074 + 0.599i 20.8 0.246 + 0.344i 0.115 + 0.396i 0.299 + 0.563i 0.183 + 0.591i 0.334 + 0.398i 0.069 + 0.456i 0.391 + 0.507i 0.074 + 0.596i 20.9 0.248 + 0.345i 0.119 + 0.397i 0.299 + 0.562i 0.184 + 0.588i 0.341 + 0.398i 0.067 + 0.457i 0.395 + 0.507i 0.074 + 0.596i 21 0.249 + 0.346i 0.121 + 0.398i 0.299 + 0.561i 0.186 + 0.587i 0.347 + 0.399i 0.065 + 0.458i 0.399 + 0.507i 0.073 + 0.597i 21.1 0.250 + 0.348i 0.124 + 0.399i 0.300 + 0.561i 0.188 + 0.586i 0.351 + 0.400i 0.064 + 0.459i 0.402 + 0.507i 0.073 + 0.597i 21.2 0.253 + 0.349i 0.127 + 0.400i 0.300 + 0.560i 0.189 + 0.584i 0.359 + 0.400i 0.062 + 0.459i 0.408 + 0.507i 0.072 + 0.597i 21.3 0.254 + 0.350i 0.130 + 0.401i 0.300 + 0.559i 0.190 + 0.583i 0.363 + 0.401i 0.061 + 0.459i 0.411 + 0.508i 0.071 + 0.598i 21.4 0.255 + 0.351i 0.132 + 0.402i 0.301 + 0.559i 0.191 + 0.582i 0.367 + 0.402i 0.060 + 0.460i 0.415 + 0.508i 0.071 + 0.598i 21.5 0.256 + 0.352i 0.134 + 0.403i 0.301 + 0.559i 0.192 + 0.581i 0.369 + 0.403i 0.060 + 0.460i 0.417 + 0.509i 0.071 + 0.599i 21.6 0.258 + 0.353i 0.136 + 0.404i 0.302 + 0.559i 0.192 + 0.580i 0.373 + 0.403i 0.059 + 0.460i 0.421 + 0.510i 0.070 + 0.598i 21.7 0.259 + 0.354i 0.138 + 0.405i 0.302 + 0.559i 0.193 + 0.580i 0.375 + 0.404i 0.058 + 0.460i 0.423 + 0.511i 0.070 + 0.599i 21.8 0.260 + 0.355i 0.140 + 0.406i 0.303 + 0.559i 0.193 + 0.579i 0.379 + 0.405i 0.057 + 0.460i 0.426 + 0.512i 0.070 + 0.600i 21.9 0.261 + 0.356i 0.142 + 0.407i 0.303 + 0.559i 0.193 + 0.579i 0.380 + 0.406i 0.057 + 0.460i 0.428 + 0.513i 0.070 + 0.600i 22 0.263 + 0.358i 0.144 + 0.408i 0.304 + 0.559i 0.194 + 0.579i 0.384 + 0.407i 0.057 + 0.460i 0.431 + 0.514i 0.070 + 0.600i 22.1 0.264 + 0.358i 0.145 + 0.408i 0.304 + 0.559i 0.194 + 0.579i 0.386 + 0.408i 0.056 + 0.460i 0.433 + 0.515i 0.070 + 0.601i 22.2 0.265 + 0.359i 0.147 + 0.409i 0.306 + 0.559i 0.195 + 0.578i 0.388 + 0.408i 0.056 + 0.459i 0.437 + 0.516i 0.069 + 0.601i 22.3 0.266 + 0.361i 0.149 + 0.409i 0.307 + 0.559i 0.195 + 0.578i 0.390 + 0.409i 0.056 + 0.459i 0.439 + 0.517i 0.069 + 0.601i 22.4 0.270 + 0.363i 0.151 + 0.409i 0.310 + 0.558i 0.196 + 0.575i 0.396 + 0.410i 0.055 + 0.457i 0.451 + 0.519i 0.069 + 0.599i 22.5 0.271 + 0.363i 0.153 + 0.410i 0.311 + 0.558i 0.196 + 0.575i 0.397 + 0.411i 0.055 + 0.456i 0.453 + 0.520i 0.069 + 0.599i 22.6 0.657 + 0.796i 0.681 + 0.968i 1.439 + 0.592i 1.279 + 0.792i 0.641 + 0.636i 0.502 + 1.245i 1.219 + 0.516i 1.198 + 1.044i 22.7 0.658 + 0.797i 0.682 + 0.968i 1.438 + 0.590i 1.278 + 0.790i 0.644 + 0.637i 0.501 + 1.243i 1.219 + 0.516i 1.197 + 1.043i 22.8 0.661 + 0.798i 0.685 + 0.969i 1.434 + 0.589i 1.277 + 0.789i 0.645 + 0.638i 0.499 + 1.242i 1.217 + 0.515i 1.195 + 1.042i 22.9 0.662 + 0.798i 0.687 + 0.969i 1.432 + 0.587i 1.276 + 0.787i 0.647 + 0.639i 0.497 + 1.241i 1.216 + 0.514i 1.194 + 1.041i 23 0.664 + 0.799i 0.688 + 0.970i 1.429 + 0.586i 1.276 + 0.785i 0.649 + 0.641i 0.496 + 1.240i 1.215 + 0.514i 1.193 + 1.040i 23.1 0.666 + 0.800i 0.691 + 0.971i 1.428 + 0.582i 1.276 + 0.782i 0.651 + 0.642i 0.495 + 1.238i 1.215 + 0.512i 1.194 + 1.037i 23.2 0.667 + 0.802i 0.693 + 0.972i 1.426 + 0.578i 1.276 + 0.780i 0.652 + 0.643i 0.494 + 1.236i 1.214 + 0.511i 1.194 + 1.035i 23.3 0.668 + 0.804i 0.695 + 0.975i 1.423 + 0.575i 1.275 + 0.777i 0.654 + 0.646i 0.493 + 1.234i 1.212 + 0.509i 1.195 + 1.032i 23.4 0.671 + 0.817i 0.682 + 0.991i 1.456 + 0.466i 1.312 + 0.665i 0.663 + 0.656i 0.453 + 1.213i 1.225 + 0.445i 1.275 + 0.887i 23.5 0.673 + 0.819i 0.684 + 0.993i 1.452 + 0.465i 1.306 + 0.660i 0.665 + 0.658i 0.451 + 1.211i 1.223 + 0.441i 1.274 + 0.881i 23.6 0.676 + 0.819i 0.685 + 0.993i 1.449 + 0.466i 1.302 + 0.657i 0.667 + 0.659i 0.449 + 1.210i 1.222 + 0.439i 1.273 + 0.876i 23.7 0.677 + 0.821i 0.687 + 0.994i 1.445 + 0.467i 1.297 + 0.655i 0.668 + 0.660i 0.448 + 1.207i 1.221 + 0.438i 1.272 + 0.872i 23.8 0.679 + 0.822i 0.689 + 0.995i 1.441 + 0.466i 1.294 + 0.653i 0.670 + 0.661i 0.447 + 1.207i 1.219 + 0.437i 1.270 + 0.869i 23.9 0.681 + 0.823i 0.691 + 0.996i 1.437 + 0.466i 1.290 + 0.651i 0.671 + 0.662i 0.447 + 1.206i 1.217 + 0.436i 1.269 + 0.866i 24 0.683 + 0.824i 0.693 + 0.997i 1.434 + 0.466i 1.288 + 0.649i 0.672 + 0.663i 0.446 + 1.205i 1.215 + 0.435i 1.267 + 0.862i 24.1 0.685 + 0.826i 0.695 + 0.998i 1.431 + 0.465i 1.285 + 0.646i 0.674 + 0.665i 0.446 + 1.203i 1.214 + 0.434i 1.268 + 0.858i 24.2 0.688 + 0.828i 0.697 + 1.000i 1.429 + 0.465i 1.283 + 0.645i 0.676 + 0.666i 0.445 + 1.203i 1.212 + 0.433i 1.267 + 0.856i 24.3 0.690 + 0.844i 0.717 + 1.030i 1.424 + 0.461i 1.279 + 0.637i 0.678 + 0.676i 0.433 + 1.204i 1.207 + 0.430i 1.281 + 0.845i 24.4 0.693 + 0.847i 0.720 + 1.034i 1.421 + 0.460i 1.277 + 0.634i 0.680 + 0.678i 0.431 + 1.202i 1.205 + 0.429i 1.282 + 0.840i 24.5 0.694 + 0.849i 0.722 + 1.037i 1.418 + 0.461i 1.274 + 0.634i 0.681 + 0.680i 0.430 + 1.201i 1.204 + 0.429i 1.280 + 0.839i 24.6 0.695 + 0.850i 0.722 + 1.038i 1.415 + 0.462i 1.271 + 0.633i 0.682 + 0.681i 0.428 + 1.199i 1.203 + 0.428i 1.279 + 0.836i 24.7 0.697 + 0.852i 0.724 + 1.039i 1.413 + 0.462i 1.269 + 0.631i 0.684 + 0.682i 0.428 + 1.197i 1.202 + 0.428i 1.277 + 0.833i 24.8 0.698 + 0.853i 0.725 + 1.040i 1.410 + 0.462i 1.266 + 0.631i 0.684 + 0.683i 0.429 + 1.196i 1.201 + 0.428i 1.276 + 0.831i 24.9 0.699 + 0.854i 0.726 + 1.040i 1.407 + 0.463i 1.265 + 0.630i 0.686 + 0.684i 0.428 + 1.196i 1.199 + 0.428i 1.274 + 0.829i 25 0.700 + 0.855i 0.726 + 1.041i 1.405 + 0.463i 1.262 + 0.629i 0.686 + 0.685i 0.428 + 1.195i 1.198 + 0.427i 1.273 + 0.827i

Annex to the Description—Annex 3

245 449 491 980 1064 1194 1277 1571 2026 3186 4399 4900 5283 5413 5558 6570 1318 1584 1682 1860 1954 2000 2062 3387 3441 3879 3981 4240 4302 4446 4603 5111 105 472 785 911 1168 1450 2550 2851 3277 3624 4128 4460 4572 4669 4783 5102 1217 5338 5737 8334 855 994 2979 9443 7506 7811 9212 9982 848 3313 3380 3990 2095 4143 4620 9946 1488 2396 6130 7483 1032 2241 7067 10418 2008 3199 7215 7502 1161 7705 8194 8584 2316 4813 8649 9359 125 1880 3177 1141 8033 9072 7492 7768 7837 7984 8306 8483 8685 9357 9642 10045 10179 10261 10338 10412 5588 5675 5793 5955 6397 6221 6449 6616 7218 7394 9535 9806 10009 10763 5133 5199 5905 6647 7328 7086 7703 8121 8217 9149 9304 9476 9736 9884 ATSC3_QC_CR515_N16200: Code Rate = 5/15, LDPC Length = 16 k 13 88 136 188 398 794 855 918 954 1950 2762 2837 2847 4209 4342 5092 5334 619 792 1002 1148 3528 1533 1925 2207 2766 3021 3261 8593 8947 4832 4873 5109 5488 499 717 1551 1791 2535 3135 3582 3813 4047 4309 5126 5186 5219 5716 5977 6236 6406 658 4058 7824 8512 3245 4743 8117 9369 465 6559 8112 9461 975 7368 4444 6095 4128 5993 9182 9473 9 3822 5306 5320 4 8311 9571 9669 13 8122 8949 9656 3353 4449 5829 8053 7885 9118 9674 7575 9591 9670 431 8123 9271 4228 7967 9270 8647 9146 9556 11 5213 7763 5498 5731 5837 6150 6942 7127 7402 7935 8235 8307 8600 9001 9419 9442 9710 5882 6079 6097 6276 6499 6584 6738 6795 7550 7723 7786 8732 9060 9270 9401 6586 6593 7085 7399 7485 7726 7878 8027 8066 8425 8832 9309 9464 9553 9671 ATSC3_QC_CR615_N16200: Code Rate = 6/15, LDPC Length = 16 k 1606 3402 4961 6751 7132 11516 12300 12482 12592 13342 13764 14123 21576 23946 4621 5007 6910 8732 9757 11508 13099 15513 16335 18052 19512 21319 23663 25628 16 1094 2020 3080 4194 5098 5631 6877 7889 8237 9804 10067 11017 11366 700 897 1708 6017 6490 7372 7825 9546 10398 16605 18561 18745 21625 22137 159 2010 2573 3617 4452 4958 5556 5832 6481 8227 9924 10836 14954 15594 3118 3545 4768 4992 5227 6732 8170 9397 10522 11508 15536 20218 21921 28599 1264 4254 6936 9165 9486 9950 10861 11653 13697 13961 15164 15665 18444 19470 111 1307 1628 2041 2524 5358 7988 8191 10322 11905 12919 14127 15515 15711 961 3035 7174 7948 13355 13607 14971 18189 18339 18665 18875 19142 20615 21136 2990 3549 4273 4808 5707 6021 6509 7456 8240 10044 12262 12660 13085 14750 955 4323 5145 6885 8123 9730 11840 12216 19194 20313 23056 24248 24830 25268 264 605 4181 4483 5156 7238 8863 10939 11251 12964 16254 17511 20017 22395 520 2562 2794 3528 3860 4402 5676 6963 8655 9018 9783 11933 16336 17193 10106 10637 10906 34242 1856 15100 19378 21848 943 11191 27806 29411 4575 6359 13629 19383 4476 4953 18782 24313 5441 6381 21840 35943 9638 9763 12546 30120 9587 10626 11047 25700 4088 15298 28768 35047 2332 6363 8782 28863 4625 4933 28298 30289 3541 4918 18257 31746 1221 25233 26757 34892 8150 16677 27934 30021 8500 25016 33043 38070 7374 10207 16189 35811 611 18480 20064 38261 25416 27352 36089 38469 1667 17614 25839 32776 4118 12481 21912 37945 5573 13222 23619 31271 18271 26251 27182 30587 14690 26430 26799 34355 13688 16040 20716 34558 2740 14957 23436 32540 3491 14365 14681 36858 4796 6238 25203 27854 1731 12816 17344 26025 19182 21662 23742 27872 6502 13641 17509 34713 12246 12372 16746 27452 1589 21528 30621 34003 12328 20515 30651 31432 3415 22656 23427 36395 632 5209 25958 31085 619 3690 19648 37778 9528 13581 26965 36447 2147 26249 26968 28776 15698 18209 30683 1132 19888 34111 4608 25513 38874 475 1729 34100 7348 32277 38587 182 16473 33082 3865 9678 21265 4447 20151 27618 6335 14371 38711 704 9695 28858 4856 9757 30546 1993 19361 30732 756 28000 29138 3821 24076 31813 4611 12326 32291 7628 21515 34995 1246 13294 30068 6466 33233 35865 14484 23274 38150 21269 36411 37450 23129 26195 37653 24533 25376 25667 26836 31799 34173 35462 36153 36740 37085 37452 37468 37658 27208 31333 32219 33003 33239 33447 36200 36473 36938 37201 37283 37495 38642 13136 13354 15379 18934 20199 24522 26172 28666 30386 32714 36390 37015 37162 23693 24340 24966 25015 26995 28586 28895 29687 33938 34520 34858 37056 38297 16623 18065 19249 22394 22677 23408 23731 24076 24776 27007 28222 30343 38371 29445 29758 29968 31014 32027 33685 34378 35867 36323 36728 36870 38335 38623 20313 21189 24371 26431 26999 28086 28251 29261 31981 34015 35850 36129 37186 17061 19024 21195 22902 23727 24401 24608 25111 25228 27338 35398 37794 38196 21309 21758 23366 24745 25849 25962 27583 30006 31118 32106 36469 36583 37920 15680 16049 21587 23997 25803 28343 28693 34393 34860 35490 36021 37737 38296 26617 26801 28557 29753 30745 31450 31973 32839 33025 33296 35710 37366 37509 22818 23261 23422 24064 26329 27723 28186 30434 31956 33971 34372 36764 38123 17320 19035 20606 23579 23769 24123 24966 27866 32457 34011 34499 36620 37526 ATSC3_QC_CR615_N64800: Code Rate = 6/15, LDPC Length = 64 k 432 655 893 942 1285 1427 1738 2199 2441 2565 2932 3201 4144 220 453 690 826 1116 1425 1488 1901 3119 3182 3568 3800 3953 300 454 497 930 1757 2145 2314 2372 2467 2819 3191 3256 3699 1373 4668 5324 7777 189 3930 5766 6877 3 2961 4207 5747 1108 4768 6743 2106 1282 2274 2750 6204 2279 2587 2737 6344 2889 3164 7275 8040 133 2734 5081 8386 437 3208 7121 4280 7128 8490 619 4563 6206 2799 6814 6991 244 4212 5925 1719 7657 8554 53 1895 6685 584 5420 6856 2958 5834 8103 4419 4678 4963 5423 5922 6433 6564 6656 7478 7514 7892 4071 4782 5038 5555 6836 6871 7131 7609 7850 8317 8443 3984 4538 4965 5461 5742 5912 6135 6649 7636 8078 8455 ATSC3_QC_CR715_N16200: Code Rate = 7/15, LDPC Length = 16 k 2422 2919 3173 3795 4428 12681 13428 14654 17367 17687 19587 34 79 817 17478 12769 14798 15383 16588 16739 17538 21654 88 986 1907 2868 3657 6826 8595 11922 14704 17681 19503 526 3853 4486 6507 10616 11300 11453 13885 20007 21420 21441 43 1775 4405 5644 6553 8885 10337 11178 14114 15108 16189 27 624 1191 1470 4277 5054 5695 9632 10911 11365 18339 14 45 750 1098 1567 2003 6720 10195 12053 13024 13337 30 94 4493 11928 14051 17759 18541 20842 21277 24587 24948 3 4245 5284 7791 10196 10922 13942 14897 14947 16908 21032 78 6958 897 15781 23302 23386 23863 25578 25734 31844 31919 52 90 775 3760 4099 6945 8954 11931 15578 20804 23252 81 1162 3084 3986 4494 8523 10309 10934 12819 16784 23113 0 35 57 1564 9062 19894 24489 24737 25422 27021 30630 58 639 2340 3613 19819 12917 24284 29214 29430 29736 32496 71 77 88 958 4233 7365 8395 15176 16662 18280 21969 163 4304 4697 7470 11857 12787 12837 18000 18472 18489 19730 7 29 79 7321 9770 11315 15354 16240 18888 19559 27783 8 24 41 4491 11252 14225 18290 25845 30258 30801 31349 13 13092 15747 23904 29675 29732 30199 31273 31928 32211 32704 6 11188 19937 11738 14763 34508 11 4674 25431 6346 9658 31716 18231 32283 33198 19187 31166 33846 197 27886 32712 74 8683 24435 2200 20501 21571 25 10097 29631 4515 32145 33245 13010 26434 29967 0 30598 33940 1342 27835 33782 2253 7519 33030 9079 13091 29109 20124 20880 27383 14317 16550 26394 84 2860 33197 21726 28610 31525 12888 23822 32157 1221 10300 34113 15613 22759 28517 4889 28647 31367 22184 25784 30338 21714 26300 28577 1408 15983 16148 6569 18901 23827 42 7606 25499 11193 13616 31040 2996 28561 30145 6335 23176 26286 6236 23314 24004 25452 90136 31684 3826 12150 21414 10711 17869 29177 13382 34510 34532 14491 16483 31945 77 16047 34221 17993 32178 32575 5508 6547 13803 4265 19226 25358 10154 23746 29274 3421 20929 34055 2926 9237 30748 17492 23256 34334 14069 21117 34122 2 30 34279 4782 18300 33735 153 4829 34472 6935 20289 25347 94 23831 34474 4955 13105 18305 3455 6361 16383 5195 13496 34289 1637 5512 18417 14082 20496 28964 12268 18659 23956 9430 22419 34549 6153 21548 24847 1995 12662 13605 18498 29840 31922 14059 14662 33268 20722 33280 34057 564 20975 23516 20017 23588 24353 25280 27167 29853 32040 32473 33170 33375 22792 25145 25588 26995 27388 31655 32133 32691 33452 34471 20604 24251 28125 28612 29976 30687 31208 31454 33686 33909 22554 23794 24581 24959 27083 28710 30285 32852 34179 34327 16192 18490 18801 23475 22748 28289 28970 80758 31968 33554 21097 23810 26677 27822 28433 29878 31026 32525 33335 33873 19088 22647 25050 25899 27035 28844 29927 33915 34033 34490 25790 27442 31120 31905 31526 32107 32263 33695 34393 34529 24585 27219 30300 30981 32732 33367 33558 33725 34424 34537 32100 32815 33345 33531 33561 33889 34348 34504 34512 34530 20583 29420 32461 33095 33874 33964 34018 34177 34483 34506 23883 25952 29134 29930 30530 32021 33343 33400 33564 33685 31513 33317 33425 33545 33624 33743 33869 33875 34046 34519 32785 32830 37835 33176 33323 33711 33967 34197 34438 34468 24348 20847 27645 31090 31890 34119 34223 34235 34548 34551 27014 29653 29740 30070 30252 32769 33637 34382 34394 34555 28220 28924 30659 13474 39084 33310 33644 34282 34452 34557 32655 32932 32951 33058 33794 33889 34150 34338 34463 34494 32959 33056 33374 33646 33931 34043 34203 34426 34429 34509 ATSC3_QC_CR715_N64800: Code Rate = 7/15, LDPC Length = 64 k 32 384 430 591 1296 1976 1999 2137 2175 3638 4214 4604 4486 4662 4999 5174 5700 6989 7115 3138 7189 1788 1881 1910 2724 4504 4928 4973 5616 5686 5718 5846 6523 6893 6994 7074 7100 7277 7399 7476 2480 7537 2791 2724 2927 4196 4298 4800 4948 5361 5401 5688 5818 5862 5869 6029 6244 6645 5962 7203 7302 7454 7534 574 1451 1826 2056 2069 2387 2794 3349 3366 4951 5826 5834 6903 6640 6762 6786 6859 7043 7418 7431 7554 14 178 675 823 890 930 1209 1311 2898 4339 4600 5203 5485 6549 8970 7208 7218 7298 7454 7457 7462 4075 4188 7313 7553 5145 6018 7148 7907 3198 4858 6983 7033 3170 5126 5625 6901 2839 6093 7071 3450 11 3735 5413 2497 5400 7238 2061 5172 5714 1889 7173 7329 1795 2773 3499 2695 2944 6735 3221 4625 5897 1690 6122 6816 5013 6839 7358 1601 6849 7415 2180 7389 7543 2121 6838 7054 1948 3109 5046 272 3015 7464 ATSC3_QC_CR815_N16200: Code Rate = 8/15, LDPC Length = 16 k 2768 3039 4059 5856 6245 7013 8157 9341 9802 10470 2739 8244 8891 9157 12624 12973 15534 16622 16919 18402 1727 2268 6246 7815 9010 9556 10134 10472 11389 14599 28 1346 3721 5565 7019 9240 12355 13109 14800 16040 369 2450 4366 5316 5160 7107 10362 11132 11271 13149 508 4292 5831 8559 10044 10412 11283 14810 15888 17243 389 2248 5840 6043 2000 9054 11075 11760 12217 12565 1015 2002 5714 6777 9346 9629 11039 11153 12690 13068 1480 3084 3467 4401 4798 5187 7851 11368 12323 14325 6925 8876 12392 14529 15253 15437 19226 19950 20321 23021 2547 3404 3538 4666 5126 5468 7695 8799 14732 15072 888 1581 2311 4611 7218 9107 10454 12252 13662 15714 1047 1494 1718 4645 5030 6811 7868 8146 10611 15767 59 1781 1900 3814 7121 8044 8906 9175 11156 14841 1952 3057 4399 9476 10171 10769 11335 11569 15002 19501 2895 3070 3437 4764 4905 6670 9244 11845 13352 13573 612 1528 2004 4244 4599 4926 5843 7684 10122 10443 1361 2195 4745 6708 7158 7538 9138 9998 14862 15359 5229 6295 7134 3655 9139 13527 15408 16058 16705 18320 697 2035 4887 5275 6909 9166 11805 15338 16381 18403 5379 17329 22659 23062 11814 14759 22329 22936 2423 2811 10296 12727 8460 15260 16769 17290 14191 14608 29536 30187 7103 10069 20111 22850 4285 15413 26448 29069 548 2137 9189 10928 4581 7077 23382 23949 3942 17248 19486 27922 8668 10230 16922 26678 6158 9980 13788 28198 12422 16076 24206 29887 8778 10649 18747 22111 21029 22677 27150 28980 7918 15423 27672 27803 5927 18086 23525 3397 15058 30224 24016 25880 26268 1096 4775 7912 3259 17301 20802 129 8396 15132 17825 28119 28676 2343 8382 28840 3907 18374 20939 1132 1290 8786 1481 4710 28846 2185 3705 26834 5496 15681 21854 12697 13407 22178 12788 21227 22894 629 2854 6232 2289 18227 27458 7593 21935 23001 3836 7081 12282 7925 18440 23135 497 6342 9717 11199 22046 30067 12572 28045 28990 1240 2023 10933 19566 20629 25186 6442 13303 28813 4765 10572 16180 552 19301 24286 6782 18480 21383 11267 12288 15758 771 5652 15531 16131 20047 25649 13227 23035 24450 4839 13467 27488 2852 4677 22993 2504 28116 29524 12518 17374 24267 1222 11859 27922 9660 17286 18261 232 11296 29978 9750 11165 16295 4894 9505 23622 10861 11980 14110 2128 15883 22836 6274 17243 21989 10866 13202 22517 11159 16111 21608 3719 18787 22100 1756 2020 23901 20913 29473 30103 2729 15091 26976 4410 8217 12963 5395 24564 28235 3859 17909 23051 5733 26005 29797 1935 3492 29773 11903 21380 29914 6091 10469 29997 2895 8930 15594 1827 10028 20070 11521 12083 16610 18361 20321 24601 27420 28206 29788 18780 19854 20220 20543 22306 25540 27478 27678 28053 15719 16204 17342 17666 18850 22058 25579 25860 29207 16839 17369 17631 19357 19473 19891 20381 23911 29683 16397 16532 17113 19894 22043 22784 27383 28615 28804 17538 19903 20528 22090 22652 27235 27384 28208 28485 13587 15403 19422 19528 21493 25142 27777 28566 28702 13990 16841 17702 20021 24106 26300 29332 30081 30196 14546 16360 17158 18010 21333 25612 26556 26906 27005 23651 24393 24653 26668 27205 28269 28529 29041 29292 15881 17410 18971 19609 19717 22150 24941 27908 29018 15894 17025 18671 24304 25316 25556 28489 28977 29212 17682 18391 22614 23021 23763 25478 26491 29088 29757 15789 16033 16755 17292 18550 19310 22505 29567 29850 20621 22642 23452 24360 25109 25290 25828 28505 29122 13975 14600 15871 17996 19672 20079 20579 25327 27958 12267 14368 18413 19058 22985 24257 26202 26596 27899 16076 18925 21401 21573 22503 24146 24247 27778 29312 19909 20901 22238 22437 23654 25131 27550 28247 29903 20425 20688 21547 24590 25171 26726 28848 29224 29412 ATSC3_QC_CR815_N16800: Code Rate = 8/15, LDPC Length = 64 k 350 462 1291 1383 1821 2235 2493 3328 3353 3772 3872 3923 4259 4426 4542 4972 5347 6217 6246 6332 6386 177 869 1214 1253 1398 1482 1737 2014 2161 2331 3108 3297 3438 4388 4430 4456 4522 4783 5273 6037 6395 347 501 658 966 1622 1659 1934 2117 2527 3168 3231 3379 3427 3739 4218 4497 4894 5000 5167 5728 5975 319 398 599 1143 1796 3198 3521 3886 4139 4453 4556 4636 4688 4753 4986 5199 5224 5496 5698 5724 6123 162 257 304 524 945 1695 1855 2527 2780 2902 2958 3439 3484 4224 4769 4928 5156 5303 5971 6358 6477 807 1695 2941 4276 2652 2857 4660 6358 329 2100 2412 3632 1151 1231 3872 4869 1561 3565 5138 5303 407 794 1455 3438 5683 5749 1504 1985 3563 440 5021 6321 194 3645 5923 1217 1462 6422 1212 4715 5973 4098 5100 5642 5512 5857 6226 2583 5506 5933 784 1801 4890 4734 4779 4875 938 5081 5377 127 4125 4704 1244 2178 3352 3659 6350 6465 1686 3464 4336 ATSC3_QC_CR915_N16200: Code Rate = 9/15, LDPC Length = 16 k 113 1557 3316 5680 6241 10407 13404 13947 14040 14353 271 1361 6236 7006 7307 7333 12768 15441 15568 17923 73 605 872 4008 6279 7653 10346 10799 12482 12935 1445 1690 4304 4851 8919 9176 9252 13783 16076 16675 1290 2337 5661 6371 8996 10102 10941 11360 12242 14918 28 42 1926 3421 3503 8558 9453 10168 15820 17473 0 1709 4041 4932 5968 7123 8430 9564 10596 11026 29 1625 6500 6609 16831 18517 18568 18738 19387 20159 55 66 871 3700 11426 13221 15001 16367 17601 18380 1 19 5958 8548 8860 11489 16845 18450 18469 19496 7520 7690 8855 9183 14654 16695 17121 17854 18083 18428 48 58 410 1299 3786 10668 18523 18963 20864 22106 12 51 3894 6539 8276 10885 11644 12777 13427 14039 3509 8748 9581 11509 15884 16230 17583 19264 20900 21001 21 29 69 1448 2386 4601 6626 6667 10242 13141 18 53 7890 9934 10063 16728 19040 19809 20825 21522 4096 4582 5766 5894 6517 10027 12182 13247 15207 17041 0 25 819 5539 7076 7536 7695 9532 13668 15051 34 40 44 4215 6076 7427 7965 8777 11017 15593 1595 6216 22850 25439 1562 15172 19517 22362 7508 12879 24324 24496 6298 15819 16757 18721 11173 15175 19966 21195 59 13505 16941 23793 2267 4830 12023 20587 8827 9278 13072 16664 14419 17463 23398 25348 6112 16534 20423 22698 493 8914 21103 24799 6896 12761 13206 25873 2 1380 12322 21701 11600 21306 25753 25790 8421 13076 14271 15401 9630 14112 19017 20955 212 13932 21781 25824 5961 9110 16654 19636 58 5434 9936 12770 6575 11433 19798 2731 7338 20926 14253 18463 25404 21791 24805 25869 2 11646 15850 6075 8586 23819 18435 22093 24852 2103 2368 11704 10925 17402 18232 9062 25061 25674 18497 20853 23404 18606 19364 19551 7 1022 25543 6744 15481 25888 9081 17305 25164 8 23701 25883 9680 19955 22848 56 4564 19121 5595 15086 25892 3174 17127 23183 19397 19817 20275 12561 24571 25825 7111 9889 25865 19104 20189 21851 549 9686 25548 6586 20325 25906 3224 20710 21637 641 15215 25754 13484 23729 25818 2043 7493 24246 16860 25230 25768 22047 24200 24902 9391 18040 19499 7855 24336 25069 23834 25570 25852 1977 8800 25756 6671 21772 25859 3279 6710 24444 24099 25117 25820 5553 12306 25915 48 11107 23907 10832 11974 25773 2223 17905 25484 16782 17135 20446 475 2861 3457 16218 22449 24362 11716 22200 25897 8315 15009 22633 13 20480 25852 12352 18658 25687 3681 14794 23703 30 24531 25846 4103 22077 24107 23837 25622 25812 3627 13387 25839 908 5367 19388 0 6894 25795 20322 23546 25181 8178 25260 25437 2449 13244 22565 31 18928 22741 1312 5134 14838 6085 13937 24220 66 14633 25670 47 22512 25422 8867 24704 25229 6742 21623 22745 147 9948 24178 8522 24261 24307 19202 22406 24609 15522 15698 16079 17363 19374 19543 20530 22833 24339 18341 20321 21502 22023 23938 25351 25590 25876 25910 13604 15909 16526 19782 20506 22804 23629 24859 25600 17274 18806 18882 20819 21958 22451 23869 23999 24177 16808 20571 23374 24046 25045 25060 25662 25783 25913 19571 19685 22790 23336 23367 23890 24061 25657 25680 14761 19484 20762 20858 23803 24016 24795 25853 25863 20544 21603 21941 24137 24269 24416 24803 25154 25395 22796 23488 23938 25476 25635 25678 25807 25857 25872 20190 23173 25262 25566 25668 25679 25858 25888 25915 19633 20470 20736 21720 22335 23273 25083 25293 25403 22308 23033 23107 23128 23990 24286 24409 24595 25802 15954 17078 19053 20537 22863 24521 25087 25463 25838 21310 22547 22756 22959 24768 24814 25594 25626 25880 13852 14137 18640 19951 22449 23454 24431 25512 25814 21800 23582 24556 25031 25547 25562 25733 25789 25906 18958 20133 20503 22228 24332 24613 25689 25855 25883 17683 19665 20253 21996 24136 24890 25758 25784 25807 19542 22202 22973 23397 23423 24418 24873 25107 25644 ATSC3_QC_CR915_N64800: Code Rate = 9/15, LDPC Length = 64 k 76 545 1005 1029 1990 1970 2525 2971 3448 3845 4088 4114 4163 4373 4640 34205 4970 5094 14 463 600 1675 2239 2319 2326 2815 2887 4278 4457 4493 4597 4918 4989 5038 5261 5384 451 632 829 1006 1530 1723 2205 2587 2801 3041 3849 4382 4595 4727 5006 5156 5224 5286 211 265 1293 1777 1926 2214 2909 2957 3178 3278 3771 4547 4563 4737 4879 5068 5232 5344 6 2901 3925 5384 2858 4152 5006 5202 9 1232 2063 2768 7 11 2781 3871 12 2161 2820 4078 3 3510 4568 5323 253 411 3215 5241 3919 4789 5040 5302 12 5113 5256 5352 9 1461 4004 5241 1688 3585 4480 5394 8 2127 3469 4360 2827 4049 5084 5379 1770 3331 5315 5386 1885 2817 4900 5088 2568 3854 4650 1604 3565 5878 2317 4636 5756 2480 2816 4094 14 4518 4826 127 1192 3872 93 2282 3663 2962 5085 5314 2078 4277 5089 9 5280 5292 50 2847 4742 ATSC3_QC_CR1015_N16200: Code Rate = 10/15, LDPC Length = 16 k 979 1423 4166 4609 6341 8258 10334 10548 14098 14514 17051 17333 17653 17830 17990 2559 4025 6344 6510 9167 9728 11312 14856 17104 17721 18600 18791 19079 19697 19840 3243 6894 7950 10539 12042 13233 13938 14752 16449 16727 17025 18297 18796 19400 21577 3272 3574 6341 6722 9191 10807 10957 12531 14036 15580 16651 17007 17309 19415 19845 155 4598 10201 10975 11086 11296 12713 15364 15978 16395 17542 18164 18451 18612 20617 1128 1999 3926 4069 5558 6085 6337 8386 10693 12450 15438 16223 16370 17308 18634 2408 2929 3630 4357 5852 7329 8536 8695 10603 11003 14304 14937 15767 18402 21502 199 3066 6446 6849 8973 9536 10452 12857 13675 15913 16717 17654 19802 20115 21579 312 870 2095 2586 5517 6196 6757 7311 7368 13046 15384 18576 20349 21424 21587 985 1591 3248 3509 3706 3847 6174 6276 7864 9033 13618 15675 16446 18355 18843 975 3774 4083 5825 6166 7218 7633 9657 10103 13052 14240 17320 18126 19544 20208 1795 2005 2544 3418 6148 8051 9066 9725 10676 10752 11512 15171 17523 20481 21059 167 315 1824 2325 2640 2868 6070 6597 7016 8109 9815 11608 16142 17912 19625 1298 1896 3039 4303 4690 8787 12241 13600 14478 15492 16602 17115 17913 19466 20597 568 3695 6045 6624 8131 8404 8590 9059 9246 11570 14336 18657 18941 19218 21506 228 1889 1967 2299 3011 5074 7044 7596 7689 9534 10244 10697 11691 17902 21410 1330 1579 1739 2234 3701 3865 5713 6677 7263 11172 12143 12765 17121 20011 21436 303 1668 2501 4925 5778 5985 9635 10140 10820 11779 11849 12058 15650 20426 20527 698 2484 3071 3219 4054 4125 5663 5939 6928 7086 8054 12173 16280 17945 19302 232 1619 3040 4901 7438 8135 9117 9233 10131 13321 17347 17436 18193 18586 19929 12 3721 6254 6609 7880 8139 10437 12262 13928 14065 14149 15032 15694 16264 18883 482 915 1548 1637 6687 9338 10163 11768 11970 15524 15695 17386 18787 19210 19340 1291 2500 4109 4511 5099 5194 10014 13165 13256 13972 15409 16113 16214 18584 20998 1761 4778 7444 7740 8129 8341 8931 9136 9207 10003 10678 13959 17673 18194 20990 3060 3522 5361 5692 6833 8342 8792 11023 11211 11548 11914 13987 15442 15541 19707 1322 2348 2970 5632 6349 7577 8782 9113 9267 9376 12042 12943 16680 16970 21321 6785 11960 21455 1223 15672 19550 5976 11335 20385 2818 9387 15317 2763 3554 18102 5230 11489 18997 5809 15779 20674 2620 17838 18533 3025 9342 9931 3728 5337 12142 2520 6666 9164 12892 15307 20912 10736 12393 16539 1075 2407 12853 4921 5411 18206 5955 15647 16838 6384 10336 19266 429 10421 17266 4880 10431 12208 2910 11895 12442 7366 18362 18772 4341 7903 14994 4564 6714 7378 4639 8652 18871 15787 18048 20246 3241 11079 13640 1559 2936 15881 2737 6349 10881 10394 16107 17073 8207 9043 12874 7805 16058 17905 11189 15767 17764 5823 12923 14316 11080 20390 20924 568 8263 17411 1845 3557 6562 2890 10936 14756 9031 14220 21517 3529 12955 15902 413 6750 8735 6784 12092 16421 12019 13794 15308 12588 15378 17676 8067 14589 19304 1244 5877 6085 15897 19349 19993 1426 2394 12264 3456 8931 12075 13342 15273 20351 9138 13352 20798 7031 7626 14081 4280 4507 15617 4170 10569 14335 3839 7514 16578 4688 12815 18782 4861 7858 9435 605 5445 12912 2280 4734 7311 6668 8128 12638 3733 10621 19534 13933 18316 19341 1786 3037 21566 2202 13239 16432 4882 5808 9300 4580 8484 16754 14630 17502 18269 6889 11119 12447 8162 9078 16330 6538 17851 18100 17763 19793 20816 2183 11907 17567 6640 14428 15175 877 12035 14081 1336 6468 12328 5948 9146 12003 3782 5699 12445 1770 7946 8244 7384 12639 14989 1469 11586 20959 7943 10450 15907 5005 8153 10035 17750 18826 21513 4725 8041 10112 3837 16266 17376 11340 17361 17512 1269 4611 4774 2322 10813 16157 16752 16843 18959 70 4325 18753 3165 8153 15384 160 8045 16823 14112 16724 16792 4291 7667 18176 5943 19879 20721 ATSC3_QC_CR1015_N64800: Code Rate = 10/15, LDPC Length = 64 k 8 297 703 742 1345 1443 1495 1628 1812 2341 2550 2669 2810 2877 3442 3690 3755 3904 4264 180 211 477 788 824 1090 1272 1578 1685 1948 2050 2195 2233 2546 2757 2946 3147 3299 3544 627 741 1135 1157 1226 1333 1378 1427 1454 1696 1757 1772 2099 2208 2592 3354 3580 4066 4242 9 795 959 989 1006 1032 1135 1209 1382 1484 1703 1855 1985 2043 2629 2845 3136 3450 3742 230 413 801 829 1108 1170 1291 1759 1793 1827 1976 2000 2423 2466 2917 3010 3600 3782 4143 56 142 236 381 1050 1141 1372 1627 1985 2247 2340 3023 3434 3519 3957 4013 4142 4164 4279 298 1211 2548 3643 73 1070 1614 1748 1439 2141 3614 284 1564 2629 607 660 855 1195 2037 2753 49 1198 2562 296 1145 3540 1516 2315 2382 154 722 4016 759 2375 3825 162 194 1749 2885 2422 2632 6 1172 2583 726 1325 1428 985 2708 2769 255 2801 3181 2979 3720 4090 208 1428 4094 199 3743 3757 1229 2059 4282 458 1100 1387 1199 2481 3284 1161 1467 4060 959 3014 4144 2666 3960 4125 2809 3834 4318 ATSC3_QC_CR1115_N16200: Code Rate = 11/15, LDPC Length = 16 k 696 989 1238 3091 3116 3738 4269 6406 7033 8048 9157 10254 12033 16456 16912 444 1488 6541 8626 10735 12447 13111 13706 14135 15195 15947 16453 16916 17137 17268 401 460 992 1145 1576 1678 2238 2320 4280 6770 10027 12486 15363 16714 17157 1161 3108 3727 4508 5092 5348 5582 7727 11793 12515 12917 13362 14247 16717 17205 542 1190 6883 7911 8349 8835 10489 11631 14195 15009 15454 15482 16632 17040 17063 17 487 776 880 5077 6172 9771 11446 12798 16016 16109 16171 17087 17132 17226 1337 3275 3462 4229 9246 10180 10845 10866 12250 13633 14482 16024 16812 17186 17241 15 980 2305 3674 5971 8224 11499 11752 11770 12897 14082 14836 15311 16391 17209 0 3926 5869 8696 9351 9391 11371 14052 14172 14636 14974 16619 16961 17033 17237 3033 5317 6501 8579 10698 12168 12966 14019 15392 15806 15991 16493 16690 17062 17090 981 1205 4400 6410 11003 13319 13405 14695 15846 16297 16492 16563 16616 16862 16953 1725 4276 8869 9588 14062 14486 15474 15548 16300 16432 17042 17050 17060 17175 17273 1807 5921 9960 10011 14305 14490 14872 15852 16054 16061 16306 16799 16833 17136 17262 2826 4752 6017 6540 7016 8201 14245 14419 14716 15983 16569 16652 17171 17179 17247 1662 2516 3345 5229 8086 9686 11456 12210 14595 15808 16011 16421 16825 17112 17195 2890 4821 5987 7226 8823 9869 12468 14694 15352 15805 16075 16462 17102 17251 17263 3751 3890 4382 5720 10281 10411 11350 12721 13121 14127 14980 15202 15335 16735 17123 26 30 2805 5457 6630 7188 7477 7556 11065 16608 16859 16909 16943 17030 17103 40 4524 5043 5566 9645 10204 10282 11696 13080 14837 15607 16274 17034 17225 17266 904 3157 6284 7151 7984 11712 12887 13767 15547 16099 16753 16829 17044 17250 17259 7 311 4876 8334 9249 11267 14072 14559 15003 15235 15686 16331 17177 17238 17253 4410 8066 8596 9631 10369 11249 12610 15769 16791 16960 17018 17037 17062 17165 17204 24 8261 9691 10138 11607 12782 12786 13424 13933 15262 15795 16476 17084 17193 17220 88 11622 14705 15890 304 2026 2638 6018 1163 4268 11620 17232 9701 11785 14463 17260 4118 10952 12224 17006 3647 10823 11521 12060 1717 3753 9199 11642 2187 14280 17220 14787 16903 17061 381 3534 4294 3149 6947 8323 12562 16724 16881 7289 9997 15306 5615 13152 17260 5666 16926 17027 4190 7798 16831 4778 10629 17180 10001 13884 15453 6 2237 8203 7831 15144 15160 9186 17204 17243 9435 17168 17237 42 5701 17159 7812 14259 15715 39 4513 6658 38 9368 11273 1119 4785 17182 5620 16521 16729 16 6685 17242 210 3452 12383 466 14462 16250 10548 12633 13962 1452 6005 16453 22 4120 13684 5195 11563 16522 5518 16705 17201 12233 14552 15471 6067 13440 17248 8660 8967 17061 8673 12176 15051 5959 15767 16541 3244 12109 12414 31 15913 16323 3270 15686 16653 24 7346 14675 12 1531 8740 6228 7565 16667 16936 17122 17162 4868 8451 13183 3714 4451 16919 11313 13801 17132 17070 17191 17242 1911 11201 17186 14 17190 17254 11760 16008 16832 14543 17033 17278 16129 16765 17155 6891 15561 17007 12741 14744 17116 8992 16661 17277 1861 11130 16742 4822 13331 16192 13281 14027 14989 38 14887 17141 10698 13452 15674 4 2539 16877 857 17170 17249

285 14118 16831 15191 17214 17242 39 728 16915 2469 12969 15579 16644 17151 17164 2592 8280 10448 9236 12431 17173 9064 16892 17233 4526 16146 17038 31 2116 16083 15837 16951 17031 5362 8382 16618 6137 13199 17221 2841 15068 17068 24 3620 17003 9880 15718 16764 1784 10240 17209 2731 10293 10846 3121 8723 16598 8563 15662 17088 13 1167 14676 29 13850 15963 3654 7553 8114 23 4362 14865 4434 14741 16688 8362 13901 17244 13687 16736 17232 46 4229 13394 13169 16383 16972 16031 16681 16952 3384 9894 12580 9841 14414 16165 5013 17099 17115 2130 8941 17266 6907 15428 17241 16 1860 17235 2151 16014 16643 14954 15958 17222 3969 8419 15116 31 15593 16984 11514 16605 17255 ATSC3_QC_CR1115_N64800: Code Rate = 11/15, LDPC Length = 64 k 3 394 1014 1214 1361 1477 1534 1663 1856 2745 2987 2991 3124 3155 59 136 528 781 803 928 1293 1489 1944 2041 2200 2613 2690 2847 155 245 311 621 1114 1269 1281 1783 1995 2047 2672 2803 2885 3014 79 870 974 1326 1449 1530 2077 2317 2467 2627 2811 3083 3101 3132 4 582 660 902 1048 1842 1697 1744 1928 2628 2699 2728 3045 3104 176 395 429 1027 1061 1058 1154 1168 1175 2147 2359 2376 2613 2682 1388 2241 3118 3148 148 506 2067 3148 1594 2217 2705 398 988 2551 1149 2588 2654 678 2844 3115 1508 1547 1954 1199 1267 1710 2589 3163 3207

2766 2697 3166 929 1823 2742 1113 3007 3239 1753 1478 3127 0 509 1811 1672 2646 2984 965 1462 3230 3 1077 2917 1183 1316 1662 958 1593 3239 64 1996 2226 1442 2058 3181 513 973 1058 1263 3185 8229 681 1394 3017 419 2653 3217 3 2404 3175 2417 2792 2854 1879 2940 3235 647 1704 3060 ATSC3_QC_CR1215_N16200: Code Rate = 12/15, LDPC Length = 16 k 584 1472 1621 1867 3338 3568 3723 4185 5126 5889 7737 8632 8940 9725 221 445 590 3779 3835 6939 7743 8280 8448 8491 9367 10042 11242 12917 4662 4837 4900 5029 6449 6687 6751 8684 9936 11681 11811 11886 12089 12909 2418 3018 3647 4210 4473 7447 7502 9490 10067 11092 11139 11256 12201 12383 2591 2947 3349 3406 4417 4519 5176 6672 8498 8863 9201 11294 11376 12184 27 101 197 290 871 1727 3911 5411 6676 8701 9350 10310 10798 12439 1765 1897 2923 3584 3901 4048 6963 7054 7132 9165 10184 10824 11278 12669 2183 3740 4808 5217 5660 6375 6787 8219 8466 9037 10353 10583 11118 12762 73 1594 2146 2715 3501 3572 3639 3725 6959 7187 8406 10120 10507 10691 240 732 1215 2185 2788 2830 3499 3881 4197 4991 6425 7061 9756 10491 831 1568 1828 3424 4319 4516 4639 6018 9702 10203 10417 11240 11518 12458 2024 2970 3048 3638 3676 4152 5284 5779 5926 9426 9945 10873 11787 11837 1049 1218 1651 2328 3493 4363 5750 6483 7613 8782 9738 9803 11744 11937 1193 2060 2289 2964 3478 4592 4756 6709 7162 8231 8326 11140 11908 12243 978 2120 2439 3338 3850 4589 6567 8745 9656 9708 10161 10542 10711 12639 2403 2938 3117 3247 3711 5593 5844 5932 7801 10152 10226 11498 12162 12941 1781 2229 2276 2533 3582 3951 5279 5774 7930 9824 10920 11038 12340 12440 289 384 1980 2230 3464 3873 5958 8656 8942 9006 10175 11425 11745 12530 155 354 1090 1330 2002 2236 3559 3705 4922 5958 6576 8564 9972 12760 303 876 2059 2142 5244 5330 6644 7576 8614 9598 10410 10718 11033 12957 3449 3617 4408 4602 4727 6182 8835 8928 9372 9644 10237 10747 11655 12747 811 2565 2820 8677 8974 9632 11069 11548 11839 12107 12411 12695 12812 12890 972 4123 4943 6385 6449 7339 7477 8379 9177 9359 10074 11709 12552 12831 842 973 1541 2262 2905 5276 6758 7099 7894 8128 8325 8663 8875 10050 474 791 968 3902 4924 4965 5085 5908 6109 6329 7931 9038 9401 10568 1397 4461 4658 5911 6037 7127 7318 8678 8924 9000 9473 9602 10446 12692 1334 7571 12881 1393 1447 7972 633 1257 10597 4843 5102 11056 3294 8015 10513 1108 10374 10546 5353 7824 10111 3398 7674 8569 7719 9478 10503 2997 9418 9581 5777 6519 11229 1966 5214 9899 6 4088 5827 836 9248 9612 483 7229 7548 7865 8289 9804 2915 11098 11900 6180 7096 9481 1431 6786 8924 748 6757 8625 3312 4475 7204 1852 8958 11020 1915 2903 4006 6776 10886 12531 2594 9998 12742 159 2002 12079 853 3281 3762 5201 5798 6413 3882 6062 12047 4133 6775 9657 228 6874 11183 7433 10728 10864 7735 8073 12734 2844 4621 11779 3909 7103 12804 6002 9704 11060 5864 6856 7681 3652 5869 7605 2546 2657 4461 2423 4203 9111 244 1855 4691 1106 2178 6371 391 1617 10126 250 9259 10603 3435 4614 6924 1742 8045 9529 7667 8875 11451 4023 6108 6911 8621 10184 11650 6726 10861 12348 3228 6302 7388 1 1137 5358 381 2424 8537 3256 7508 10044 1980 2219 4569 2468 5699 10319 2803 3314 12808 8578 9642 11533 829 4585 7923 59 329 5575 1067 5709 6867 1175 4744 12219 109 2518 6756 2105 10626 11153 5192 10696 10749 6260 7641 8233 2998 3094 11214 3398 6466 11494 6574 10448 12160 2734 10755 12780 1028 7958 10825 8545 8602 10793 392 3398 11417 6639 9291 12571 1067 7919 8934 1064 2848 12753 6076 8656 12690 5504 6193 10171 1951 7156 7356 4389 4780 7889 526 4804 9141 1238 3648 10464 2587 5624 12557 5560 5903 11963 1134 2570 3297 10041 11583 12157 1263 9585 12912 3744 7898 10646 45 9074 10315 1051 6188 10038 2242 8394 12712 3598 9025 12651 2295 3540 5610 1914 4378 12423 1766 3635 12759 5177 9586 11143 943 3590 11649 4864 6905 10454 5852 6042 10421 6095 8285 12349 2070 7171 8563 718 12234 12716 512 10667 11353 3629 6485 7040 2880 8865 11466 4490 10220 11796 5440 8819 9103 5262 7543 12411 516 7779 10940 2515 5843 9202 4684 5994 10586 573 2270 3324 7870 8317 10322 6856 7638 12909 1583 7669 10781 8141 9085 12555 3903 5485 9992 4467 11998 12904 ATSC3_QC_CR1215_N64800: Code Rate = 12/15, LDPC Length = 64 k 37 144 161 199 220 496 510 589 731 808 834 965 20 27 165 462 546 583 742 796 1095 1110 1129 1145 288 362 463 505 638 691 745 861 1006 1083 1124 1175 405 464 478 511 566 574 641 766 785 802 836 996 86 192 245 357 363 374 700 713 852 903 992 1174 101 327 378 550 186 723 1318 1550 118 277 504 1835 199 407 1776 1965 387 1253 1328 1975 62 144 1163 2017 100 475 572 2136 431 865 1568 2055 283 640 981 1172 220 1038 1903 2147 483 1318 1358 2118 92 561 1709 1810 112 403 1485 2042 431 1110 1130 1365 587 1005 1205 1588 704 1113 1943 375 1487 2100 1507 1950 2110 962 1613 2038 554 1295 1501 488 784 1446 871 1935 1964 54 1475 1504 1579 1617 2074 1856 1967 2131 330 1582 2107 40 1056 1809 1310 1353 1410 232 554 1939 168 641 1099 333 437 1556 153 622 745 719 931 1188 237 638 1607 1249 1264 1311 1377 1460 1520 1598 1707 1958 2055 2099 2154 1169 1190 1254 1363 1383 1463 1718 1835 1870 1879 2108 2128 1247 1275 1337 1353 1378 1506 1588 1632 1720 1868 1980 2135 1128 1239 1247 1449 1491 1537 1616 1643 1668 1950 1975 2149 1245 1277 1342 1369 1381 1417 1463 1712 1900 1962 2053 2118 ATSC3_QC_CR1315_N16200: Code Rate = 13/15, LDPC Length = 16 k 142 2307 2598 2650 4028 4434 5781 5881 6016 6323 6681 6698 8125 2932 4928 5248 5256 5983 6773 6828 7789 8426 8494 8534 8539 8583 899 3295 3833 5399 6820 7400 7753 7890 8109 8451 8529 8564 8602 21 3060 4720 5429 5636 5927 6966 8110 8170 8247 8355 8365 8616 20 1745 2838 3799 4380 4418 4646 5059 7343 8161 8302 8456 8631 9 6274 6725 6792 7195 7333 8027 8186 8209 8273 8442 8548 8632 494 1365 2405 3799 5188 5291 7644 7926 8139 8458 8504 8594 8625 192 574 1179 4387 4695 5089 5831 7673 7789 8298 8301 8612 8632 11 20 1406 6111 6176 6256 6708 6834 7828 8232 8457 8495 8602 6 2654 3554 4483 4966 5866 6795 8069 8249 8301 8497 8509 8623 21 1144 2355 3124 6773 6805 6887 7742 7994 8358 8374 8580 8611 335 4473 4883 5528 6096 7543 7586 7921 8197 8319 8394 8489 8636 2919 4331 4419 4735 6366 6393 6844 7193 8165 8205 8544 8586 8617 12 19 742 930 3009 4330 6213 6224 7292 7430 7792 7922 8137 710 1439 1588 2434 3516 5239 6248 6827 8230 8448 8515 8581 8619 200 1075 1868 5581 7349 7642 7698 8037 8201 8210 8320 8391 8526 3 2501 4252 5256 5292 5567 6136 6321 6430 6486 7571 8521 8636 3062 4599 5885 6529 6616 7314 7319 7567 8024 8153 8302 8372 8598 105 381 1574 4351 5452 5603 5943 7467 7788 7933 8362 8513 8587 787 1857 3386 3659 6550 7131 7965 8015 8040 8312 8484 8525 8537 15 1118 4226 5197 5575 5761 6762 7038 8260 8338 8444 8512 8568 36 5216 5368 5616 6029 6591 8038 8067 8299 8351 8565 8578 8585 1 23 4300 4530 5426 5532 5817 6967 7124 7979 8022 8270 8437 629 2133 4828 5475 5875 5890 7194 8042 8345 8385 8518 8598 8612 11 1065 3782 4237 4993 7104 7863 7904 8104 8228 8321 8383 8565 2131 2274 3168 3215 3220 5597 6347 7812 8238 8354 8527 8557 8614 5600 6591 7491 7696 1766 8281 8626 1725 2280 5120 1650 3445 7652 4312 6911 8626 15 1013 5892 2263 2546 2979 1545 5873 7406 67 726 3697 2860 6443 8542 17 911 2820 1561 4580 6052 79 5269 7134 22 2410 2424 3501 5642 8627 808 6950 8571 4099 6389 7482 4023 5000 7833 5476 5765 7917 1008 3194 7207 20 495 5411 1703 8388 8635 6 4395 4921 200 2053 8206 1089 5126 5562 10 4193 7720 1967 2151 4608 22 738 3513 3385 5066 8152 440 1118 8537 3429 6058 7716 5213 7519 8382 5564 8365 8620 43 3219 8603 4 5409 5815 5 6376 7654 4091 5724 5953 5348 6754 8613 1634 6398 6632 72 2058 8605 3497 5811 7579 3846 6743 8559 15 5933 8629 2133 5859 7068 4151 4617 8566 2960 8270 8410 2059 3617 8210 544 1441 6895 4043 7482 8592 294 2180 8524 3058 8227 8373 364 5756 8617 5383 8555 8619 1704 2480 4181 7338 7929 7990 2615 3905 7981 4298 4548 8296 8262 8319 8630 892 1893 8028 5694 7237 8595 1487 5012 5810 4335 8593 8624 3509 4531 5273 10 22 830 4161 5208 6280 275 7063 8634 4 2725 3113 2279 7403 8174 1637 3328 3930 2810 4939 5624 3 1234 7687 2799 7740 8616 22 7703 8636 4302 7857 7993 7477 7794 8592 9 6111 8591 5 8606 8628 347 3497 4033 1747 2613 8636 1827 5600 7042 580 1822 6842 232 7134 7783 4629 5000 7231 951 2806 4947 571 3474 8577 2437 2496 7945 23 5873 8162 12 1168 7686 8315 8540 8596 1766 2506 4733 929 1516 3338 21 1216 6555 782 1452 8617 8 6083 6087 667 3240 4583 4030 4661 5790 559 7122 8553 3202 4388 4909 2533 3673 8594 1991 3954 6206 6835 7900 7980 189 5722 8573 2680 4928 4998 243 2579 7735 4281 8132 8566 7656 7671 8609 1116 2291 4166 21 388 8021 6 1123 8369 311 4918 8511 0 3248 6290 13 6762 7172 4209 5632 7563 49 127 8074 581 1735 4075 0 2235 5470 2178 5820 6179 16 3575 6054 1095 4564 6458 9 1581 5953 2537 6469 8552 14 3874 4844 0 3269 3551 2114 7372 7926 1875 2388 4057 3232 4042 6663 9 401 583 13 4100 6584 2299 4190 4410 21 3670 4979 ATSC3_QC_CR1315_N64800: Code Rate = 13/15, LDPC Length = 64 k

indicates data missing or illegible when filed

Annex to the Description—Annex 4

16-QAM CR 7/15 9/15 11/15 13/15 1.2103 + 0.5026i 0.4909 + 1.2007i 0.9583 + 0.9547i 0.9517 + 0.9511i 0.5014 + 1.2103i 1.2007 + 0.4909i 0.9547 + 0.2909i 0.9524 + 0.3061i 0.4634 + 0.2624i 0.2476 + 0.5065i 0.2921 + 0.9583i 0.3067 + 0.9524i 0.2624 + 0.4627i 0.5053 + 0.2476i 0.2909 + 0.2927i 0.3061 + 0.3067i

64-QAM CR 7/15 9/15 11/15 13/15 0.1543 + 0.3088i 0.3547 + 0.6149i 0.3317 + 0.6970i 1.4293 + 0.2286i 0.1719 + 0.3074i 0.1581 + 0.6842i 0.1386 + 0.8824i 0.6234 + 1.1799i 0.2021 + 0.6601i 0.1567 + 0.2749i 0.1323 + 0.4437i 1.0719 + 0.9247i 0.3396 + 0.6009i 0.1336 + 0.2700i 0.1015 + 0.1372i 0.6841 + 0.8071i 0.3080 + 0.1543i 0.6177 + 0.4030i 0.5682 + 0.4500i 1.0440 + 0.1692i 0.3069 + 0.1716i 0.7262 + 0.1756i 0.6739 + 0.1435i 0.7232 + 0.1541i 0.6607 + 0.2018i 0.3568 + 0.1756i 0.3597 + 0.3401i 1.0639 + 0.5312i 0.6011 + 0.3395i 0.3771 + 0.1336i 0.3660 + 0.1204i 0.7147 + 0.4706i 0.2936 + 1.4847i 0.5639 + 0.8864i 0.6004 + 0.8922i 0.2128 + 1.4368i 0.8412 + 1.2593i 0.1980 + 1.0277i 0.2120 + 1.2253i 0.1990 + 1.0577i 0.2321 + 1.0247i 0.8199 + 1.2515i 0.9594 + 1.0714i 0.1176 + 0.6586i 0.5629 + 0.8926i 0.2854 + 1.4691i 0.5829 + 1.3995i 0.3691 + 0.7533i 1.4850 + 0.2935i 0.8654 + 0.6058i 0.8439 + 0.5675i 0.1457 + 0.1261i 1.2599 + 0.8426i 1.0382 + 0.2141i 0.9769 + 0.1959i 0.4329 + 0.1380i 1.0247 + 0.2320i 1.2362 + 0.8416i 1.2239 + 0.6760i 0.1424 + 0.3819i 0.8925 + 0.5631i 1.4663 + 0.2973i 1.3653 + 0.2323i 0.4216 + 0.4265i

256-QAM CR 7/15 9/15 11/15 13/15 0.1256 + 0.2068i 0.0899 + 0.1337i 0.0582 + 0.3157i 1.4685 + 0.3416i 0.1255 + 0.2077i 0.0910 + 0.1377i 0.1170 + 0.3398i 0.9545 + 1.2710i 0.1265 + 0.2240i 0.0873 + 0.3862i 0.0609 + 0.4922i 1.2326 + 0.9727i 0.1264 + 0.2247i 0.0883 + 0.3873i 0.1505 + 0.4655i 0.9928 + 1.0555i 0.1557 + 0.2325i 0.1115 + 0.1442i 0.0809 + 0.2181i 0.5366 + 1.2142i 0.1555 + 0.2328i 0.1135 + 0.1472i 0.1912 + 0.2702i 0.7176 + 1.2813i 0.1594 + 0.2446i 0.2067 + 0.3591i 0.3444 + 0.3892i 0.5970 + 1.0330i 0.1590 + 0.2447i 0.1975 + 0.3621i 0.2678 + 0.3980i 0.7840 + 1.0563i 0.1383 + 0.6402i 0.1048 + 0.7533i 0.0827 + 0.7889i 1.3683 + 0.5610i 0.1417 + 0.6402i 0.1770 + 0.7412i 0.2390 + 0.7609i 0.9738 + 0.6818i 0.1344 + 0.6027i 0.1022 + 0.5904i 0.0692 + 0.6437i 1.2078 + 0.7474i 0.1366 + 0.6023i 0.1191 + 0.5890i 0.1982 + 0.6202i 1.0017 + 0.8588i 0.3330 + 0.5769i 0.4264 + 0.6230i 0.5248 + 0.6168i 0.6323 + 0.6766i 0.3228 + 0.5787i 0.3650 + 0.6689i 0.3946 + 0.7012i 0.7966 + 0.6886i 0.3099 + 0.5483i 0.3254 + 0.5153i 0.4297 + 0.5004i 0.6339 + 0.8522i 0.3017 + 0.5493i 0.2959 + 0.5302i 0.3236 + 0.5668i 0.8022 + 0.8656i 0.4168 + 0.1173i 0.3256 + 0.0768i 0.1081 + 0.0518i 0.0931 + 1.1992i 0.4168 + 0.1185i 0.3266 + 0.0870i 0.2626 + 0.0685i 0.1140 + 1.4121i 0.4205 + 0.1200i 0.4721 + 0.0994i 0.4934 + 0.0753i 0.0730 + 1.0051i 0.4202 + 0.1215i 0.4721 + 0.1206i 0.4151 + 0.0899i 0.2219 + 0.9648i 0.3852 + 0.1797i 0.2927 + 0.1267i 0.0850 + 0.1018i 0.4566 + 1.4370i 0.3860 + 0.1803i 0.2947 + 0.1296i 0.2425 + 0.1555i 0.3039 + 1.2999i 0.3867 + 0.1760i 0.3823 + 0.2592i 0.4222 + 0.2788i 0.4348 + 0.9883i 0.3679 + 0.1765i 0.3944 + 0.2521i 0.3833 + 0.2175i 0.3152 + 1.1094i 0.7366 + 0.1528i 0.7755 + 0.1118i 0.8081 + 0.0814i 0.0615 + 0.6426i 0.7255 + 0.1884i 0.7513 + 0.2154i 0.7874 + 0.2263i 0.1977 + 0.6403i 0.7219 + 0.1535i 0.6591 + 0.1033i 0.6444 + 0.0779i 0.0627 + 0.8195i 0.7117 + 0.1857i 0.6446 + 0.1737i 0.6425 + 0.1804i 0.1944 + 0.7950i 0.5825 + 0.4149i 0.5906 + 0.4930i 0.6442 + 0.4989i 0.4831 + 0.6579i 0.6012 + 0.4001i 0.6538 + 0.4155i 0.7296 + 0.3793i 0.3357 + 0.6420i 0.5715 + 0.3988i 0.4981 + 0.3921i 0.5312 + 0.3831i 0.4793 + 0.8186i 0.5889 + 0.3864i 0.5373 + 0.3586i 0.5938 + 0.3038i 0.3334 + 0.7968i 0.1671 + 1.7095i 0.1630 + 1.6621i 0.1530 + 1.5695i 1.1496 + 0.0911i 0.4420 + 1.6137i 0.4720 + 1.5898i 0.4501 + 1.5218i 0.9665 + 0.0743i 0.1477 + 1.3374i 0.1268 + 1.3488i 0.1272 + 1.3199i 1.3416 + 0.1182i 0.3135 + 1.3073i 0.3752 + 1.2961i 0.3852 + 1.2808i 0.9586 + 0.2173i 1.0214 + 1.3784i 1.0398 + 1.2991i 1.0070 + 1.2418i 0.6270 + 0.0735i 0.7434 + 1.5169i 0.7733 + 1.4772i 0.7407 + 1.4062i 0.7860 + 0.0714i 0.7869 + 1.1040i 0.3380 + 1.0552i 0.8513 + 1.0461i 0.6272 + 0.2168i 0.6252 + 1.2041i 0.6242 + 1.2081i 0.6296 + 1.1796i 0.7881 + 0.2183i 0.1526 + 0.9140i 0.1103 + 0.9397i 0.0974 + 0.9545i 1.1689 + 0.5018i 0.1914 + 0.9087i 0.2415 + 0.9155i 0.2832 + 0.9168i 0.9701 + 0.5155i 0.1539 + 1.0179i 0.1118 + 1.1163i 0.1134 + 1.1215i 1.1870 + 0.3104i 0.2095 + 1.0084i 0.3079 + 1.0866i 0.3306 + 1.0823i 0.9885 + 0.3629i 0.5021 + 0.7976i 0.5647 + 0.7638i 0.6237 + 0.7456i 0.6391 + 0.5151i 0.4537 + 0.8238i 0.4385 + 0.8433i 0.4639 + 0.8471i 0.7973 + 0.5176i 0.5663 + 0.8802i 0.6846 + 0.8841i 0.7263 + 0.8835i 0.6279 + 0.3616i 0.5021 + 0.9146i 0.5165 + 1.0034i 0.5354 + 1.0001i 0.7944 + 0.3650i 1.7030 + 0.1913i 1.6489 + 0.1630i 1.5940 + 0.1623i 0.0581 + 0.0655i 1.6116 + 0.5458i 1.5828 + 0.4983i 1.5379 + 0.2722i 0.2048 + 0.0670i 1.3788 + 0.1641i 1.3437 + 0.1389i 1.3481 + 0.1336i 0.0671 + 0.1968i 1.3121 + 0.4320i 1.2850 + 0.4025i 1.2955 + 0.3937i 0.2016 + 0.2008i 1.2722 + 1.1406i 1.2728 + 1.0661i 1.2320 + 1.0203i 0.4809 + 0.0710i 1.4536 + 0.8623i 1.4509 + 0.7925i 1.4100 + 0.7594i 0.3406 + 0.0684i 1.0204 + 0.9076i 1.0249 + 0.8794i 1.0365 + 0.8610i 0.4779 + 0.2121i 1.1634 + 0.7212i 1.1758 + 0.6545i 1.1885 + 0.6421i 0.3377 + 0.2072i 0.9979 + 0.1554i 0.9629 + 0.1113i 0.9785 + 0.0944i 0.0625 + 0.4797i 0.9681 + 0.2706i 0.9225 + 0.2849i 0.9430 + 0.2764i 0.2019 + 0.4853i 1.0796 + 0.1672i 1.1062 + 0.1118i 1.1491 + 0.1124i 0.0550 + 0.3344i 1.0514 + 0.3095i 1.0674 + 0.3393i 1.1051 + 0.3293i 0.1977 + 0.3399i 0.7488 + 0.6179i 0.7234 + 0.6223i 0.7639 + 0.6120i 0.4860 + 0.5021i 0.8017 + 0.5596i 0.8211 + 0.4860i 0.8708 + 0.4567i 0.3403 + 0.4928i 0.8168 + 0.6803i 0.8457 + 0.7260i 0.8915 + 0.7259i 0.4763 + 0.3547i 0.8882 + 0.5928i 0.9640 + 0.5518i 1.0199 + 0.5389i 0.3343 + 0.3477i

1K-QAM CR 7/15 9/15 11/15 13/15 1 1 1 1 1 1 1.275373378 2.968204 1.04 2.753666008 3.224572114 4.986168 1.04 2.75465415 3.680802355 6.996148 3 4.81041502 5.509974926 9.073992 3.04 4.814367589 6.346778589 11.17465 3.28 6.79756917 8.066608525 13.35998 3.32 6.812391304 9.353537556 15.60908 5.24 9.044328063 11.04938406 17.97794 5.32 9.195365613 12.69977107 20.46238 6.04 11.42332016 14.55532541 23.10439 6.28 12.08725296 16.56971547 25.93383 8.24 14.46333992 18.82535703 28.98772 8.84 16.26146245 21.36400305 32.30898 11.04 19.19229249 24.2629456 36.0013 13.68 22.97401186 27.70587594 40.26307

Annex to the Description—Annex 5

16-QAM 0.4572 + 0.2733i 0.2734 + 0.4564i 2.1203 + 0.4980i 0.4981 + 1.1203i

64-QAM 0.4578 + 1.5766i 1.5773 + 0.4553i 0.8529 + 1.1018i 1.1053 + 0.8509i 0.2292 + 0.9581i 0.2130 + 0.7667i 0.3215 + 0.8545i 0.2799 + 0.7372i 0.7652 + 0.2131i 0.9533 + 0.2285i 0.7372 + 0.2800i 0.8536 + 0.3207i 0.2747 + 0.2557i 0.2550 + 0.2755i 0.2986 + 0.2807i 0.2799 + 0.3001i

256-QAM 0.3404 + 1.7468i 1.5037 + 0.2970i 0.1595 + 0.3099i 0.3316 + 0.1654i 0.2903 + 1.4335i 1.6873 + 0.3149i 0.1602 + 0.3142i 0.3322 + 0.1645i 0.2001 + 1.4147i 1.3485 + 0.2776i 0.1585 + 0.3082i 0.3271 + 0.1653i 0.2701 + 1.3538i 1.3647 + 0.2939i 0.1591 + 0.3126i 0.3276 + 0.1644i 0.9768 + 1.4797i 1.4559 + 0.9986i 0.1749 + 0.3119i 0.3287 + 0.1819i 0.8148 + 1.2312i 1.2596 + 0.8428i 0.1750 + 0.3172i 0.3293 + 0.1809i 0.7869 + 1.2059i 1.1841 + 0.7752i 0.1731 + 6.3103i 0.3247 + 0.1813i 0.7600 + 1.1579i 1.1524 + 0.7716i 0.1733 + 0.3156i 0.3250 + 0.1802i 0.2381 + 1.0015i 1.0186 + 0.2351i 0.2110 + 0.6162i 0.6287 + 0.2124i 0.2418 + 1.0173i 1.0086 + 0.2516i 0.2066 + 0.6251i 0.6265 + 0.2133i 0.2432 + 1.0278i 1.0382 + 0.2368i 0.2081 + 0.6236i 0.6345 + 0.2166i 0.2384 + 1.0433i 1.0293 + 0.2567i 0.2122 + 0.6322i 0.6324 + 0.2273i 0.5401 + 0.8861i 0.8800 + 0.5494i 0.3104 + 0.5709i 0.5748 + 0.3222i 0.5514 + 0.8979i 0.8878 + 0.5648i 0.3143 + 0.5796i 0.5755 + 0.3291i 0.5594 + 0.9005i 0.9020 + 0.5609i 0.3128 + 0.5778i 0.5841 + 0.3298i 0.5663 + 0.9123i 0.9102 + 0.5835i 0.3169 + 0.5867i 0.5849 + 0.3280i

Annex to the Descnption—Annex 6

16-QAM CR 7/15 9/15 11/15 13/15 0.502931 + 1.1949i   0.4967 + 1.19319i 0.934157 + 0.984668i 0.951702 + 0.951102i  1.19618 + 0.504965i  1.18958 + 0.489612i 0.986649 + 0.29029i  0.952402 + 0.306101i 0.263225 + 0.495916i 0.245213 + 0.532579i 0.271571 + 0.932473i 0.306701 + 0.952402i 0.499326 + 0.262469i 0.521031 + 0.243965i 0.290092 + 0.269491i 0.306101 + 0.306701i

64-QAM CR 5/15 7/15 9/15 11/15 13/15 0.573871 + 0.976254i 0.156665 + 0.312527i 0.347178 + 0.600735i 1.44428 + 0.26833i  1.43034 + 0.232863i 0.782918 + 1.24775i  0.173303 + 0.309119i 0.155533 + 0.675551i 0.747144 + 1.22429i  0.629713 + 1.18181i  0.297932 + 1.09229i  0.205578 + 0.650614i 0.167734 + 0.285961i  1.17488 + 0.773395i  1.08029 + 0.915404i 0.330876 + 1.43264i  0.336383 + 0.594283i 0.135828 + 0.244457i 0.713766 + 0.820077i 0.686962 + 0.809461i 0.976152 + 0.571463i 0.314733 + 0.156665i 0.611635 + 0.40079i  0.163802 + 1.07689i  0.21138 + 1.43045i  1.2484 + 0.780259i 0.311625 + 0.173003i 0.724262 + 0.175237i 0.292681 + 1.42171i  0.202036 + 1.05749i   1.09086 + 0.297075i 0.651216 + 0.205278i 0.377081 + 0.19144i  0.146222 + 0.745719i 0.122108 + 0.66125i   1.43269 + 0.330462i 0.596488 + 0.33528i  0.388386 + 0.131329i 0.413364 + 0.740848i 0.373454 + 0.755743i  0.28977 + 0.524646i 0.294285 + 1.48115i  0.557425 + 0.890494i  1.02034 + 0.151686i  1.04444 + 0.168099i 0.228711 + 0.395542i 0.840155 + 1.26023i  0.203843 + 1.02603i  0.665303 + 0.13565i   0.72401 + 0.154845i 0.247472 + 0.532718i 0.235648 + 1.02609i  0.80838 + 1.25317i 0.963923 + 0.446505i  1.05528 + 0.524982i 0.210804 + 0.391137i 0.563211 + 0.895685i 0.283362 + 1.46452i  0.674568 + 0.433914i  0.71417 + 0.470959i 0.523642 + 0.289419i  1.48646 + 0.293182i  0.87389 + 0.607935i 0.127098 + 0.142777i 0.145506 + 0.127531i 0.394508 + 0.228938i  1.26184 + 0.844566i  1.04963 + 0.224547i 0.378204 + 0.140639i 0.432198 + 0.138878i 0.531678 + 0.24753i   1.02709 + 0.234546i  1.22957 + 0.849984i 0.131136 + 0.428806i 0.143195 + 0.385203i 0.390066 + 0.211214i 0.897589 + 0.562409i  1.46783 + 0.302865i 0.391865 + 0.427618i 0.421955 + 0.427778i

256-QAM CR 5/15 7/15 9/15 11/15 11/15 0.345362 + 1.74068i  0.125601 + 0.206801i 0.0899 + 0.1337i 0.0590584 + 0.303971i   1.53147 + 0.281239i 0.284829 + 1.42158i  0.125501 + 0.207701i  0.091 + 0.1377i 0.106744 + 0.338987i 0.998182 + 1.26799i  0.289957 + 1.41901i  0.126501 + 0.224001i 0.0873 + 0.3862i 0.0687352 + 0.493018i   1.26233 + 0.982752i 0.273747 + 1.34924i  0.126401 + 0.224701i 0.0883 + 0.3873i 0.149142 + 0.465384i 1.01298 + 1.03167i 0.98746 + 1.47513i 0.155701 + 0.232501i 0.1115 + 0.1442i 0.0886873 + 0.223564i  0.555086 + 1.22323i  0.805644 + 1.20959i  0.155501 + 0.232801i 0.1135 + 0.1472i 0.182762 + 0.269554i 0.750023 + 1.30302i  0.802362 + 1.21052i  0.159401 + 0.244601i 0.2067 + 0.3591i 0.335595 + 0.305276i 0.608677 + 1.02272i  0.76327 + 1.15008i 0.159001 + 0.244701i 0.1975 + 0.3621i 0.270152 + 0.388069i 0.794765 + 1.05345i  0.241838 + 1.00583i  0.138301 + 0.640202i 0.1048 + 0.7533i 0.0834998 + 0.78801i   1.40357 + 0.521545i 0.242146 + 1.02675i  0.141701 + 0.640202i  0.177 + 0.7412i 0.239426 + 0.75908i  0.988995 + 0.653429i 0.242966 + 1.02634i  0.134401 + 0.602702i 0.1022 + 0.5904i 0.0760177 + 0.641163i   1.25198 + 0.735093i 0.243479 + 1.04727i  0.136601 + 0.602302i 0.1191 + 0.589i  0.198723 + 0.615724i 1.02273 + 0.82519i  0.54657 + 0.883419i 0.333002 + 0.576902i 0.4264 + 0.623i  0.524542 + 0.612332i 0.640295 + 0.658195i 0.560011 + 0.898605i 0.322801 + 0.578702i  0.365 + 0.6689i 0.392658 + 0.698525i 0.805991 + 0.665161i 0.559601 + 0.899015i 0.309901 + 0.548302i 0.3254 + 0.5153i 0.428672 + 0.494215i 0.637311 + 0.831949i 0.573247 + 0.914097i 0.301701 + 0.549302i 0.2959 + 0.5302i 0.331804 + 0.563449i 0.814845 + 0.846871i  1.74191 + 0.343827i 0.416802 + 0.117301i 0.3256 + 0.0768i 0.0988629 + 0.0606546i 0.0862288 + 1.191i    1.42127 + 0.286983i 0.416802 + 0.118501i 0.3266 + 0.087i   0.262969 + 0.0643457i 0.123334 + 1.42265i   1.41973 + 0.287906i 0.420502 + 0.120001i 0.4721 + 0.0994i  0.493217 + 0.0751199i 0.0754835 + 0.994373i   1.34944 + 0.274465i 0.420202 + 0.121501i 0.4721 + 0.1206i  0.416102 + 0.0866921i  0.2181 + 0.962947i  1.47934 + 0.985506i 0.385202 + 0.179701i 0.2927 + 0.1267i  0.096768 + 0.0985636i 0.448747 + 1.45498i  1.21226 + 0.80072i 0.386002 + 0.180301i 0.2947 + 0.1296i 0.239925 + 0.145152i 0.307432 + 1.27653i  1.21175 + 0.79877i 0.386702 + 0.176001i 0.3823 + 0.2592i 0.420192 + 0.273145i 0.445668 + 0.976557i  1.15214 + 0.759679i 0.387902 + 0.176501i 0.3944 + 0.2521i 0.381385 + 0.213987i 0.324435 + 1.08178i   1.00439 + 0.239375i 0.736602 + 0.152801i 0.7755 + 0.1118i  0.808162 + 0.0772148i 0.0654404 + 0.635422i   1.02501 + 0.240299i 0.725502 + 0.188401i 0.7513 + 0.2154i 0.788509 + 0.223763i 0.197117 + 0.63244i   1.02522 + 0.240812i 0.721902 + 0.153501i 0.6591 + 0.1033i  0.639866 + 0.0777136i 0.0669322 + 0.803706i   1.04604 + 0.241837i 0.711702 + 0.185701i 0.6446 + 0.1737i 0.641961 + 0.178971i 0.201791 + 0.79665i  0.884548 + 0.542364i 0.582502 + 0.414902i 0.5906 + 0.493i  0.641661 + 0.500699i 0.485539 + 0.644177i 0.899733 + 0.556215i 0.601202 + 0.400102i 0.6538 + 0.4155i  0.72985 + 0.377395i 0.338243 + 0.632243i  0.90042 + 0.555806i 0.571502 + 0.398802i 0.4981 + 0.3921i 0.530927 + 0.379191i  0.47569 + 0.808979i 0.914816 + 0.569041i 0.588902 + 0.386402i 0.5373 + 0.3586i 0.594375 + 0.303073i 0.336054 + 0.784812i 0.161704 + 0.325459i 0.167101 + 1.70951i   0.163 + 1.6621i 0.154629 + 1.5857i   1.12974 + 0.0851328i 0.162422 + 0.325459i 0.442002 + 1.61371i   0.472 + 1.5898i 0.457004 + 1.52714i   0.948718 + 0.0716106i 0.162422 + 0.325459i 0.147701 + 1.33741i  0.1268 + 1.3488i 0.129889 + 1.32373i   1.32367 + 0.111694i 0.162114 + 0.325562i 0.313501 + 1.30731i  0.3752 + 1.2961i 0.384279 + 1.27474i  0.939265 + 0.20647i  0.179044 + 0.323715i  1.0214 + 1.37841i 1.0398 + 1.2991i 1.00958 + 1.24481i  0.619011 + 0.0700174i 0.178941 + 0.323818i 0.743402 + 1.51691i  0.7733 + 1.4772i 0.746909 + 1.41381i  0.773768 + 0.068623i 0.179146 + 0.32392i  0.786903 + 1.10401i   0.838 + 1.0552i 0.849263 + 1.03961i  0.621994 + 0.208061i 0.179146 + 0.324023i 0.625202 + 1.20411i  0.6242 + 1.2081i 0.627096 + 1.18077i  0.775655 + 0.208755i 0.211262 + 0.618803i 0.152601 + 0.914003i 0.1103 + 0.9397i 0.0961694 + 0.948226i   1.18136 + 0.488435i 0.211877 + 0.625677i 0.191401 + 0.908703i 0.2415 + 0.9155i 0.282523 + 0.913609i 0.982437 + 0.489123i 0.212185 + 0.625369i 0.153901 + 1.0179i  0.1118 + 1.1163i 0.111134 + 1.11882i  1.19926 + 0.30086i 0.212698 + 0.631936i 0.209501 + 1.0084i  0.3079 + 1.0866i 0.327814 + 1.07672i  0.990087 + 0.335264i 0.317764 + 0.573453i 0.502102 + 0.797603i 0.5647 + 0.7638i  0.62121 + 0.741821i 0.635917 + 0.498373i 0.321766 + 0.578685i 0.453702 + 0.823803i 0.4385 + 0.8433i 0.461793 + 0.843078i 0.801418 + 0.498567i 0.321458 + 0.578788i 0.566302 + 0.880203i 0.6846 + 0.8841i 0.724563 + 0.878394i 0.629056 + 0.351477i 0.325665 + 0.584226i 0.502102 + 0.914603i 0.5165 + 1.0034i 0.536114 + 0.99671i  0.789475 + 0.352868i  0.31879 + 0.162422i  1.70301 + 0.191301i 1.6489 + 0.163i   1.60715 + 0.160914i 0.0671331 + 0.0678293i 0.319508 + 0.162319i  1.61161 + 0.545802i 1.5848 + 0.4983i  1.5432 + 0.473066i  0.199009 + 0.0681277i 0.319508 + 0.162422i  1.37881 + 0.164101i 1.3437 + 0.1389i 1.34887 + 0.13328i 0.0672326 + 0.201298i  0.320124 + 0.162319i  1.31211 + 0.432002i  1.285 + 0.4025i  1.29539 + 0.392758i 0.200105 + 0.201992i  0.31838 + 0.178326i 1.27221 + 1.14061i 1.2728 + 1.0661i 1.23903 + 1.02684i  0.473208 + 0.0691223i 0.319611 + 0.178531i  1.45361 + 0.862303i 1.4509 + 0.7925i  1.4186 + 0.765564i  0.335661 + 0.0687244i 0.318893 + 0.179146i  1.0204 + 0.907603i 1.0249 + 0.8794i   1.041 + 0.855947i 0.475995 + 0.20647i  0.320021 + 0.179352i  1.16341 + 0.721202i 1.1758 + 0.6545i  1.19064 + 0.638569i 0.336857 + 0.203584i  0.61747 + 0.209928i 0.997904 + 0.155401i 0.9629 + 0.1113i  0.974164 + 0.0931766i 0.066236 + 0.480565i 0.623421 + 0.209825i 0.968103 + 0.270601i 0.9226 + 0.2849i 0.940744 + 0.274741i 0.198611 + 0.481065i  0.62301 + 0.210954i  1.07961 + 0.167201i 1.1062 + 0.1118i  1.14635 + 0.111134i 0.0673321 + 0.338445i  0.629064 + 0.211672i  1.0514 + 0.309501i 1.0674 + 0.3393i 1.10146 + 0.32951i 0.199606 + 0.340135i 0.572939 + 0.314583i 0.748802 + 0.617902i 0.7234 + 0.6223i 0.760077 + 0.610536i 0.482953 + 0.490814i  0.57807 + 0.318585i 0.801703 + 0.559602i 0.8211 + 0.486i  0.867719 + 0.453612i 0.338345 + 0.484547i 0.577865 + 0.31879i  0.816803 + 0.680302i 0.8457 + 0.726i  0.887372 + 0.722168i 0.478278 + 0.347598i 0.583097 + 0.322587i 0.888203 + 0.592802i  0.964 + 0.5518i  1.01447 + 0.536613i  0.33745 + 0.343022i

1K-QAM (1 dimension) CR 7/15 9/15 11/15 13/25 1 1 1 1 0.996303 1.001095 1.277648 2.975413 1.192785 2.736403 3.227798 4.997551 1.19627 2.735308 3.684484 7.018692 3.018669 4.797331 5.515485 9.102872 3.030356 4.791158 6.353133 11.22209 3.638079 6.763776 8.075686 13.42392 3.6181 6.779309 9.357898 15.69921 5.52437 9.000886 11.06547 18.09371 5.495488 9.15358 12.70751 20.61366 6.718191 11.36483 14.57187 23.2898 6.939145 12.03206 16.58128 26.15568 8.762114 14.39301 18.84024 29.23992 9.659293 16.1857 21.38238 32.59361 11.71951 19.10136 24.28619 36.30895 14.37307 22.86637 27.73764 40.58404 1K-QAM (2 dimensions) CR 7/15 9/15 11/15 13/25 0.0864771 + 0.326343i  0.0708458 + 0.352673i  1.28964 + 1.3499i  1.10204 + 1.34377i 0.0817703 + 0.316929i  0.0702347 + 0.353312i  1.0852 + 1.4264i 0.953265 + 1.36811i  0.0860157 + 0.324497i  0.055736 + 0.313019i 1.38793 + 1.14273i 1.32268 + 1.08078i 0.0818626 + 0.313514i  0.0555415 + 0.314482i   1.1867 + 1.15858i 1.16547 + 1.17585i 0.0891536 + 0.324958i  0.0876221 + 0.3471i   0.85008 + 1.50845i  1.44144 + 0.791386i 0.084539 + 0.315452i 0.0870018 + 0.347285i  0.924481 + 1.34505i  1.18916 + 0.92377i 0.0888767 + 0.323943i  0.0618836 + 0.308946i  0.922074 + 1.14368i   1.34929 + 0.926486i 0.084539 + 0.31333i  0.0617632 + 0.309446i  1.03638 + 1.20849i 1.16871 + 1.042i  0.108443 + 0.453797i 0.072966 + 0.489402i  1.55964 + 0.936532i 0.698262 + 1.49043i  0.107612 + 0.454259i 0.0733363 + 0.48719i   1.15843 + 0.883156i 0.815517 + 1.38465i  0.108812 + 0.454259i 0.0728456 + 0.498679i   1.36812 + 0.948148i 0.881913 + 1.207i    0.10835 + 0.453705i 0.0731604 + 0.497633i  1.20577 + 0.99593i 1.01215 + 1.19792i 0.125978 + 0.450383i 0.139618 + 0.46708i  0.927125 + 0.889345i 0.948106 + 0.963032i 0.126255 + 0.44946i  0.139386 + 0.465516i  1.03703 + 0.890237i  1.05822 + 0.953297i 0.127455 + 0.449275i 0.144247 + 0.480051i 0.934948 + 1.00974i  0.928638 + 1.07931i  0.125516 + 0.450567i 0.143321 + 0.479403i 1.05218 + 1.02084i 1.04427 + 1.07315i 0.139545 + 0.28112i  0.164801 + 0.268579i 1.65526 + 0.69515i  1.54365 + 0.450488i 0.127178 + 0.273275i 0.165078 + 0.268588i  1.1458 + 0.493874i  1.15184 + 0.570867i 0.137791 + 0.279736i 0.0906126 + 0.239248i   1.35064 + 0.612977i  1.35351 + 0.622783i 0.126255 + 0.272168i 0.0897145 + 0.23797i   1.22547 + 0.555441i  1.23458 + 0.628624i 0.143236 + 0.279182i 0.162208 + 0.274902i 0.900337 + 0.501451i  1.30451 + 0.770483i 0.130316 + 0.274013i 0.162671 + 0.275726i  1.03683 + 0.492339i  1.18494 + 0.809095i 0.143698 + 0.27669i  0.0925939 + 0.240813i  0.915093 + 0.570741i  1.48881 + 0.621034i 0.129762 + 0.26903i  0.0924735 + 0.240887i   1.02158 + 0.563363i  1.16028 + 0.705397i 0.263861 + 0.36732i   0.28043 + 0.349146i  1.2885 + 0.778795i 0.941292 + 0.585793i 0.265707 + 0.366766i 0.279744 + 0.349137i  1.16274 + 0.760772i  1.05043 + 0.576708i 0.264692 + 0.367412i 0.310862 + 0.371774i  1.42224 + 0.752731i 0.943888 + 0.670156i  0.26543 + 0.368243i 0.310714 + 0.372857i  1.16818 + 0.658356i 1.04167 + 0.66172i 0.250664 + 0.378211i 0.244053 + 0.386708i 0.923362 + 0.772457i   0.952 + 0.860362i 0.254448 + 0.380149i 0.246831 + 0.385985i  1.03212 + 0.763198i  1.06439 + 0.848032i 0.256201 + 0.378303i 0.261042 + 0.414687i 0.921133 + 0.672022i 0.948755 + 0.761855i 0.254355 + 0.380056i 0.261459 + 0.414501i 1.03311 + 0.66311i  1.05595 + 0.750823i 0.0932144 + 0.763343i  0.0740677 + 0.780322i  0.635585 + 1.44908i  0.434913 + 1.51347i  0.0953371 + 0.761682i  0.075188 + 0.777748i 0.657985 + 1.31202i  0.456653 + 1.3707i  0.0943219 + 0.763251i  0.0901311 + 0.778896i  0.547994 + 1.17353i  0.552048 + 1.1447i  0.0907671 + 0.762236i   0.09027 + 0.775943i 0.623919 + 1.1667i  0.540367 + 1.256i   0.228975 + 0.731041i 0.248756 + 0.742047i 0.692046 + 1.63302i  0.578979 + 0.941292i 0.228975 + 0.732795i 0.250275 + 0.739399i 0.77318 + 1.30054i 0.662044 + 0.948755i 0.229344 + 0.729841i 0.228777 + 0.749843i 0.815039 + 1.1263i  0.559186 + 1.0407i  0.227406 + 0.734364i  0.22998 + 0.746417i 0.723666 + 1.15274i  0.643874 + 1.04979i  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 1.12605 + 0.0519405i  1.12913 + 0.228711i 0.573776 + 1.45691i  0.600698 + 1.75253i    0.9398 + 0.0523054i  1.53229 + 0.225105i 0.460996 + 1.50195i  0.440064 + 1.5122i   1.03614 + 0.0484929i  1.13659 + 0.153396i 0.115549 + 1.30592i  0.0705958 + 1.29738i   1.70898 + 0.265188i  0.897164 + 0.0343941i 0.17923 + 1.29559i 0.0787155 + 1.43063i   1.23265 + 0.175172i  1.16335 + 0.0369899i 0.11195 + 1.38354i 0.19702 + 1.27917i  1.51914 + 0.219178i  0.972117 + 0.0465751i 0.192059 + 1.37237i  0.224657 + 1.40256i   1.36184 + 0.194718i  1.06406 + 0.0462507i 0.433585 + 1.2081i  0.447175 + 1.18851i   0.88781 + 0.151157i 0.938372 + 0.205673i 0.383194 + 1.23089i  0.499346 + 1.28203i   1.12041 + 0.155514i  1.03129 + 0.214758i 0.468841 + 1.27132i  0.335018 + 1.23979i  0.938117 + 0.149264i 0.941616 + 0.129061i 0.407375 + 1.29808i  0.373219 + 1.34747i   1.03178 + 0.152928i  1.04297 + 0.131332i 1.11774 + 1.32115i 1.07953 + 1.3346i   1.54633 + 0.553891i  1.38303 + 0.474353i 1.30353 + 1.49826i 1.01889 + 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1.19276i   1.10204 + 0.271139i  1.02026 + 0.296337i 0.651578 + 1.15318i  0.664952 + 1.04223i  0.921629 + 0.265881i 0.925393 + 0.357313i 0.682773 + 1.12651i  0.716753 + 1.11577i   1.02257 + 0.259741i  1.08061 + 0.348227i 0.106043 + 0.947926i 0.0701699 + 0.926143i  0.519523 + 0.04689i  0.580277 + 0.035043i 0.113703 + 0.945526i 0.0686793 + 0.949992i   0.593963 + 0.0513463i  0.653284 + 0.0347186i 0.103828 + 0.945434i  0.12148 + 0.919838i  0.519276 + 0.0577024i  0.578979 + 0.0981663i 0.110842 + 0.943404i 0.127859 + 0.944548i 0.593715 + 0.059782i  0.656853 + 0.0994642i 0.289703 + 0.899288i 0.306548 + 0.872703i  0.800086 + 0.0512968i 0.583846 + 0.230982i 0.281858 + 0.90418i  0.316639 + 0.887896i  0.682618 + 0.0501084i 0.664965 + 0.230333i 0.287949 + 0.898089i 0.254978 + 0.89084i   0.775824 + 0.0515131i 0.583197 + 0.154753i 0.279828 + 0.902057i 0.258293 + 0.910274i  0.688808 + 0.0549791i 0.658151 + 0.164428i 0.107704 + 1.11193i  0.0680497 + 1.15148i   0.52393 + 0.178093i  0.818505 + 0.0343941i 0.142129 + 1.11128i  0.0689756 + 1.0825i   0.594211 + 0.172102i  0.732653 + 0.0330962i 0.100321 + 1.09365i  0.169041 + 1.14112i  0.521801 + 0.155552i  0.817856 + 0.0968684i 0.134746 + 1.08941i  0.153598 + 1.07435i  0.593616 + 0.153968i  0.739467 + 0.0981663i 0.343232 + 1.03791i  0.388244 + 1.06024i  0.793798 + 0.161605i 0.838947 + 0.216705i 0.329112 + 1.04326i  0.366589 + 1.01065i  0.684302 + 0.167546i 0.749525 + 0.224493i 0.34517 + 1.02314i 0.297697 + 1.10213i  0.777606 + 0.152928i 0.845761 + 0.152098i 0.32662 + 1.02868i 0.281467 + 1.0411i  0.688114 + 0.154265i 0.740765 + 0.161508i 0.616323 + 0.696709i 0.628465 + 0.662813i 0.536705 + 0.449765i 0.595203 + 0.51037i  0.614335 + 0.698462i 0.637075 + 0.674933i 0.608322 + 0.44417i  0.673725 + 0.511992i 0.615677 + 0.69597i  0.595967 + 0.696977i 0.534724 + 0.391936i 0.593581 + 0.438814i 0.612539 + 0.699108i 0.604291 + 0.7078i  0.602777 + 0.38639i  0.671454 + 0.437516i 0.481485 + 0.802105i 0.436722 + 0.812856i 0.799244 + 0.412084i 0.587416 + 0.299581i 0.486192 + 0.799521i 0.441258 + 0.826133i 0.701236 + 0.433128i 0.667885 + 0.295688i  0.48047 + 0.799521i 0.487551 + 0.783359i 0.785875 + 0.372526i 0.591309 + 0.366073i 0.482039 + 0.798414i 0.492828 + 0.793543i 0.697027 + 0.381092i 0.670805 + 0.366722i 0.714521 + 0.802844i 0.772341 + 0.793358i 0.327594 + 0.267475i 0.846085 + 0.509072i 0.708891 + 0.807828i 0.736909 + 0.761416i 0.397231 + 0.266831i 0.758611 + 0.512641i 0.707045 + 0.794999i 0.706134 + 0.847427i  0.53106 + 0.308611i 0.843489 + 0.433298i 0.703354 + 0.799244i 0.677812 + 0.312912i 0.596142 + 0.303264i 0.756988 + 0.436867i  0.34129 + 0.931314i 0.310484 + 0.989822i 0.790084 + 0.25881i  0.838298 + 0.286278i  0.34978 + 0.925776i 0.492365 + 0.94752i  0.687124 + 0.263761i 0.750823 + 0.293741i 0.537229 + 0.92273i   0.59781 + 0.934929i 0.780429 + 0.282914i 0.838622 + 0.359259i 0.545074 + 0.91867i  0.568396 + 0.89696i  0.692125 + 0.290836i 0.754068 + 0.363478i  1.59304 + 0.098475i  1.71824 + 0.0896127i 0.0520395 + 0.0443153i 0.0324473 + 0.0334207i  1.75483 + 0.133361i 1.53822 + 0.08203i 0.0609704 + 0.0442657i 0.0965439 + 0.0324473i  1.54911 + 0.231744i  1.92706 + 0.168328i 0.0457512 + 0.0747848i 0.0321228 + 0.0971929i  1.58538 + 0.280382i  1.53087 + 0.228804i 0.0625548 + 0.0746363i 0.0962195 + 0.0965439i  1.8581 + 0.586882i  1.76958 + 0.601819i  0.174429 + 0.0446123i 0.0321228 + 0.230982i   1.9899 + 0.275398i  1.53129 + 0.540204i  0.156147 + 0.0467415i 0.0968684 + 0.228386i   1.56748 + 0.320986i  1.77912 + 0.379801i  0.179529 + 0.0749829i 0.0324473 + 0.163779i    1.511 + 0.458873i  1.54976 + 0.378569i  0.155751 + 0.0781023i 0.095895 + 0.164104i  1.34995 + 0.0970907i  1.27422 + 0.0741788i 0.0478308 + 0.19369i   0.22936 + 0.0334207i  1.31645 + 0.108535i  1.3748 + 0.076836i 0.0652684 + 0.192105i   0.163779 + 0.0334207i  1.36065 + 0.185414i  1.2636 + 0.18953i 0.0457017 + 0.16293i   0.231307 + 0.0975173i  1.33398 + 0.193535i  1.36635 + 0.206741i 0.0618616 + 0.164019i   0.162481 + 0.0975173i  1.2284 + 0.391039i  1.21464 + 0.424028i 0.177548 + 0.191808i 0.230658 + 0.227088i  1.2344 + 0.381533i  1.3413 + 0.475922i 0.156246 + 0.190669i 0.165402 + 0.228062i  1.30177 + 0.406175i  1.23808 + 0.333582i 0.176063 + 0.161692i 0.230009 + 0.164104i 1.31949 + 0.40193i  1.35982 + 0.357108i 0.157087 + 0.160652i 0.163779 + 0.162157i 1.27815 + 1.13316i 1.25502 + 1.20424i 0.0473356 + 0.455261i  0.0321228 + 0.501284i   1.4319 + 1.19019i 1.15464 + 1.04712i 0.0662684 + 0.456202i  0.0971929 + 0.50096i   1.2093 + 0.99721i 1.45737 + 1.27373i 0.0447609 + 0.403571i  0.0334207 + 0.430053i   1.26449 + 0.923377i  1.2591 + 0.943382i 0.0663179 + 0.405849i  0.0968684 + 0.431675i  1.69687 + 0.8333i   1.67727 + 0.824855i 0.182797 + 0.457538i 0.0330962 + 0.296012i  1.67666 + 1.08258i  1.4694 + 0.701143i 0.158424 + 0.456845i 0.0984908 + 0.295688i   1.4631 + 0.738517i 1.54032 + 1.02307i 0.180172 + 0.40065i  0.0334207 + 0.364451i   1.38594 + 0.769065i  1.37922 + 0.841789i 0.156345 + 0.401442i 0.0991397 + 0.362504i   1.0057 + 0.783647i 0.974342 + 0.7957i  0.0472861 + 0.280893i  0.231307 + 0.502907i  1.02324 + 0.765097i  1.04673 + 0.895405i 0.0694868 + 0.279903i  0.165077 + 0.501933i 1.06098 + 0.83533i  1.03891 + 0.732641i 0.0458007 + 0.317722i   0.23228 + 0.433298i  1.08498 + 0.815765i  1.13471 + 0.817032i 0.0695363 + 0.316633i  0.165726 + 0.432i    1.14257 + 0.586143i 1.16159 + 0.55024i 0.179826 + 0.280447i 0.230333 + 0.296012i  1.14211 + 0.596295i  1.29405 + 0.610235i  0.15476 + 0.280497i 0.165402 + 0.295363i  1.21659 + 0.619368i  1.12149 + 0.623196i 0.183094 + 0.31896i   0.23228 + 0.362504i  1.21779 + 0.639949i 1.22932 + 0.7083i  0.155255 + 0.319901i 0.164753 + 0.36218i  0.939804 + 0.100967i  0.922124 + 0.0732344i  0.432534 + 0.0482764i  0.504205 + 0.0337452i 0.939066 + 0.101613i  0.944835 + 0.0777526i  0.380745 + 0.0506531i  0.433622 + 0.0343941i 0.938974 + 0.102444i  0.913523 + 0.0940567i  0.433128 + 0.0579995i  0.505178 + 0.0981663i 0.936574 + 0.101982i 0.935383 + 0.101788i  0.381686 + 0.0662189i  0.435244 + 0.0984908i 0.910825 + 0.230544i 0.874564 + 0.253691i  0.264207 + 0.0430279i 0.509721 + 0.230333i 0.910456 + 0.230821i 0.896877 + 0.263875i  0.295342 + 0.0475832i 0.437191 + 0.230982i 0.909256 + 0.23036i  0.878813 + 0.237406i  0.264405 + 0.0653276i 0.505827 + 0.165726i  0.90981 + 0.231559i 0.902691 + 0.244886i 0.295243 + 0.07018i  0.436542 + 0.164428i  1.11331 + 0.111488i  1.13334 + 0.0757898i 0.438475 + 0.177647i  0.29731 + 0.0317983i  1.11728 + 0.109365i  1.07888 + 0.0761972i 0.387727 + 0.182846i  0.364451 + 0.0334207i 1.10325 + 0.11961i  1.12971 + 0.153987i 0.438079 + 0.158177i  0.298284 + 0.0968684i  1.10694 + 0.118964i  1.07148 + 0.139979i 0.384954 + 0.155008i  0.363478 + 0.0991397i  1.06283 + 0.300501i  1.07944 + 0.354442i 0.268712 + 0.192947i 0.297959 + 0.230333i  1.06384 + 0.297825i  1.01908 + 0.323111i 0.301382 + 0.189877i 0.367047 + 0.231307i  1.05692 + 0.290349i 1.09721 + 0.29691i 0.268267 + 0.167089i 0.298284 + 0.165077i  1.0584 + 0.287211i 1.03573 + 0.2788i  0.299105 + 0.16293i  0.366398 + 0.165077i 0.756144 + 0.542028i 0.721142 + 0.553647i 0.452141 + 0.457142i 0.515561 + 0.509396i 0.756513 + 0.540367i 0.735103 + 0.563303i 0.395699 + 0.459519i 0.444005 + 0.506476i 0.753283 + 0.539905i 0.732909 + 0.531167i  0.4462 + 0.398768i 0.514912 + 0.438165i 0.753468 + 0.539352i 0.749204 + 0.540342i 0.393867 + 0.400997i 0.442707 + 0.435893i 0.831823 + 0.42491i  0.816337 + 0.393948i  0.27302 + 0.455805i 0.511992 + 0.299581i 0.832562 + 0.426018i  0.83503 + 0.403669i 0.310741 + 0.459172i 0.439138 + 0.298284i 0.828501 + 0.422234i 0.809745 + 0.404873i 0.274852 + 0.401591i 0.515561 + 0.36802i  0.828778 + 0.423433i 0.827596 + 0.416909i 0.310642 + 0.402581i 0.440111 + 0.366073i 0.870309 + 0.64724i  0.873536 + 0.691904i 0.440109 + 0.273763i 0.302502 + 0.50388i  0.872339 + 0.644472i 0.834928 + 0.653379i 0.394461 + 0.278071i 0.372238 + 0.505178i 0.858496 + 0.639949i 0.917421 + 0.645583i 0.444615 + 0.314652i 0.301204 + 0.435569i 0.859972 + 0.636165i 0.867703 + 0.612077i 0.393569 + 0.316385i 0.369318 + 0.434595i  0.97506 + 0.497174i  1.02195 + 0.485421i 0.271188 + 0.280051i 0.298932 + 0.29731i  0.973399 + 0.500405i 0.961769 + 0.457831i 0.304997 + 0.279605i 0.366722 + 0.298284i 0.960478 + 0.489791i 0.996488 + 0.530232i 0.272822 + 0.318217i 0.299906 + 0.364775i 0.958816 + 0.490899i  0.94178 + 0.493106i 0.306977 + 0.318217i  0.36802 + 0.366073i

Annex to the Description—Annex 7

TABLE 2 CR = 5/15 SNR = 4 dB 0.531 + 1.193i 1.193 + 0.530i 0.284 + 0.462i 0.462 + 0.284i −0.531 + 1.193i  −1.193 + 0.530i  −0.284 + 0.462i  −0.462 + 0.284i  0.531 − 1.193i 1.193 − 0.530i 0.284 − 0.462i 0.462 − 0.284i −0.531 − 1.193i  −1.193 − 0.530i  −0.284 − 0.462i  −0.462 − 0.284i 

TABLE 3 CR = 7/15 SNR = 6.5 dB 1.2103 + 0.5026i 0.5014 + 1.2103i 0.4634 + 0.2624i 0.2624 + 0.4627i −1.2103 + 0.5026i  −0.5014 + 1.2103i  −0.4634 + 0.2624i  −0.2624 + 0.4627i  1.2103 − 0.5026i 0.5014 − 1.2103i 0.4634 − 0.2624i 0.2624 − 0.4627i −1.2103 − 0.5026i  −0.5014 − 1.2103i  −0.4634 − 0.2624i  −0.2624 − 0.4627i 

TABLE 4 CR = 9/15 SNR = 8.5 dB 0.4909 + 1.2007i 1.2007 + 0.4909i 0.2476 + 0.5065i 0.5053 + 0.2476i −0.4909 + 1.2007i  −1.2007 + 0.4909i  −0.2476 + 0.5065i  −0.5053 + 0.2476i  0.4909 − 1.2007i 1.2007 − 0.4909i 0.2476 − 0.5065i 0.5053 − 0.2476i −0.4909 − 1.2007i  −1.2007 − 0.4909i  −0.2476 − 0.5065i  −0.5053 − 0.2476i 

TABLE 5 CR = 11/15 SNR = 11 dB 0.9583 + 0.9547i 0.9547 + 0.2909i 0.2921 + 0.9583i 0.2909 + 0.2927i −0.9583 + 0.9547i  −0.9547 + 0.2909i  −0.2921 + 0.9583i  −0.2909 + 0.2927i  0.9583 − 0.9547i 0.9547 − 0.2909i 0.2921 − 0.9583i 0.2909 − 0.2927i −0.9583 − 0.9547i  −0.9547 − 0.2909i  −0.2921 − 0.9583i  −0.2909 − 0.2927i 

TABLE 6 CR = 13/15 SNR = 14.5 dB 0.9517 + 0.9511i 0.9524 + 0.3061i 0.3067 + 0.9524i 0.3061 + 0.3067i −0.9517 + 0.9511i  −0.9524 + 0.3061i  −0.3067 + 0.9524i  −0.3061 + 0.3067i  0.9517 − 0.9511i 0.9524 − 0.3061i 0.3067 − 0.9524i 0.3061 − 0.3067i −0.9517 − 0.9511i  −0.9524 − 0.3061i  −0.3067 − 0.9524i  −0.3061 − 0.3067i 

TABLE 7 CR = 5/15 SNR = 7.5 dB 0.500 + 0.287i 0.422 + 0.249i 0.507 + 0.247i 0.419 + 0.224i 0.286 + 0.493i 0.249 + 0.415i 0.253 + 0.485i 0.230 + 0.400i 1.027 + 0.617i 1.220 + 0.778i 1.161 + 0.308i 1.391 + 0.332i 0.579 + 1.027i 0.711 + 1.205i 0.308 + 1.148i 0.335 + 1.387i −0.500 + 0.287i  −0.422 + 0.249i  −0.507 + 0.247i  −0.419 + 0.224i  −0.286 + 0.493i  −0.249 + 0.415i  −0.253 + 0.485i  −0.230 + 0.400i  −1.027 + 0.617i  −1.220 + 0.778i  −1.161 + 0.308i  −1.391 + 0.332i  −0.579 + 1.027i  −0.711 + 1.205i  −0.308 + 1.148i  −0.335 + 1.387i  0.500 − 0.287i 0.422 − 0.249i 0.507 − 0.247i 0.419 − 0.224i 0.286 − 0.493i 0.249 − 0.415i 0.253 − 0.485i 0.230 − 0.400i 1.027 − 0.617i 1.220 − 0.778i 1.161 − 0.308i 1.391 − 0.332i 0.579 − 1.027i 0.711 − 1.205i 0.308 − 1.148i 0.335 − 1.387i −0.500 − 0.287i  −0.422 − 0.249i  −0.507 − 0.247i  −0.419 − 0.224i  −0.286 − 0.493i  −0.249 − 0.415i  −0.253 − 0.485i  −0.230 − 0.400i  −1.027 − 0.617i  −1.220 − 0.778i  −1.161 − 0.308i  −1.391 − 0.332i  −0.579 − 1.027i  −0.711 − 1.205i  −0.308 − 1.148i  −0.335 − 1.387i 

TABLE 8 CR = 7/15 SNR = 10.5 dB 0.3352 + 0.6028i 0.2077 + 0.6584i 0.1711 + 0.3028i 0.1556 + 0.3035i 0.6028 + 0.3345i 0.6577 + 0.2084i 0.3021 + 0.1711i 0.3028 + 0.1556i 0.5556 + 0.8922i 0.2352 + 1.0190i 0.8450 + 1.2619i 0.2922 + 1.4894i 0.8929 + 0.5549i 1.0197 + 0.2359i 1.2626 + 0.8457i 1.4894 + 0.2922i −0.3352 + 0.6028i  −0.2077 + 0.6584i  −0.1711 + 0.3028i  −0.1556 + 0.3035i  −0.6028 + 0.3345i  −0.6577 + 0.2084i  −0.3021 + 0.1711i  −0.3028 + 0.1556i  −0.5556 + 0.8922i  −0.2352 + 1.0190i  −0.8450 + 1.2619i  −0.2922 + 1.4894i  −0.8929 + 0.5549i  −1.0197 + 0.2359i  −1.2626 + 0.8457i  −1.4894 + 0.2922i  0.3352 − 0.6028i 0.2077 − 0.6584i 0.1711 − 0.30281 0.1556 − 0.3035i 0.6028 − 0.3345i 0.6577 − 0.2084i 0.3021 − 0.1711i 0.3028 − 0.1556i 0.5556 − 0.8922i 0.2352 − 1.0190i 0.8450 − 1.2619i 0.2922 − 1.4894i 0.8929 − 0.5549i 1.0197 − 0.2359i 1.2626 − 0.8457i 1.4894 − 0.2922i −0.3352 − 0.6028i  −0.2077 − 0.6584i  −0.1711 − 0.3028i  −0.1556 − 0.3035i  −0.6028 − 0.3345i  −0.6577 − 0.2084i  −0.3021 − 0.1711i  −0.3028 − 0.1556i  −0.5556 − 0.8922i  −0.2352 − 1.0190i  −0.8450 − 1.2619i  −0.2922 − 1.4894i  −0.8929 − 0.5549i  −1.0197 − 0.2359i  −1.2626 − 0.8457i  −1.4894 − 0.2922i 

TABLE 9 CR = 9/15 SNR = 13.5 dB 0.3547 + 0.6149i 0.1581 + 0.6842i 0.1567 + 0.2749i 0.1336 + 0.2700i 0.6177 + 0.4030i 0.7262 + 0.1756i 0.3568 + 0.1756i 0.3771 + 0.1336i 0.5639 + 0.8864i 0.1980 + 1.0277i 0.8199 + 1.2515i 0.2854 + 1.4691i 0.8654 + 0.6058i 1.0382 + 0.2141i 1.2362 + 0.8416i 1.4663 + 0.2973i −0.3547 + 0.6149i  −0.1581 + 0.6842i  −0.1567 + 0.2749i  −0.1336 + 0.2700i  −0.6177 + 0.4030i  −0.7262 + 0.1756i  −0.3568 + 0.1756i  −0.3771 + 0.1336i  −0.5639 + 0.8864i  −0.1980 + 1.0277i  −0.8199 + 1.2515i  −0.2854 + 1.4691i  −0.8654 + 0.6058i  −1.0382 + 0.2141i  −1.2362 + 0.8416i  −1.4663 + 0.2973i  0.3547 − 0.6149i 0.1581 − 0.6842i 0.1567 − 0.2749i 0.1336 − 0.2700i 0.6177 − 0.4030i 0.7262 − 0.1756i 0.3568 − 0.1756i 0.3771 − 0.1336i 0.5639 − 0.8864i 0.1980 − 1.0277i 0.8199 − 1.2515i 0.2854 − 1.4691i 0.8654 − 0.6058i 1.0382 − 0.2141i 1.2362 − 0.8416i 1.4663 − 0.2973i −0.3547 − 0.6149i  −0.1581 − 0.6842i  −0.1567 − 0.2749i  −0.1336 − 0.2700i  −0.5177 − 0.4030i  −0.7262 − 0.1756i  −0.3568 − 0.1756i  −0.3771 − 0.1336i  −0.5639 − 0.8864i  −0.1980 − 1.0277i  −0.8199 − 1.2515i  −0.2854 − 1.4691i  −0.8654 − 0.6058i  −1.0382 − 0.2141i  −1.2362 − 0.8416i  −1.4663 − 0.2973i 

TABLE 10 CR = 11/15 SNR = 16 dB 0.3317 + 0.6970i 0.1386 + 0.8824i 0.1323 + 0.4437i 0.1015 + 0.1372i 0.5682 + 0.4500i 0.6739 + 0.1435i 0.3597 + 0.3401i 0.3660 + 0.1204i 0.6004 + 0.8922i 0.2120 + 1.2253i 0.9594 + 1.0714i 0.5829 + 1.3995i 0.8439 + 0.5675i 0.9769 + 0.1959i 1.2239 + 0.6760i 1.3653 + 0.2323i −0.3317 + 0.6970i  −0.1386 + 0.8824i  −0.1323 + 0.4437i  −0.1015 + 0.1372i  −0.5682 + 0.4500i  −0.6739 + 0.1435i  −0.3597 + 0.3401i  −0.3660 + 0.1204i  −0.6004 + 0.8922i  −0.2120 + 1.2253i  −0.9594 + 1.0714i  −0.5829 + 1.3995i  −0.8439 + 0.5675i  −0.9769 + 0.1959i  −1.2239 + 0.6760i  −1.3653 + 0.2323i  0.3317 − 0.6970i 0.1386 − 0.8824i 0.1323 − 0.4437i 0.1015 − 0.1372i 0.5682 − 0.4500i 0.6739 − 0.1435i 0.3597 − 0.3401i 0.3660 − 0.1204i 0.5004 − 0.8922i 0.2120 − 1.2253i 0.9594 − 1.0714i 0.5829 − 1.3995i 0.8439 − 0.5675i 0.9769 − 0.1959i 1.2239 − 0.6760i 1.3653 − 0.2323i −0.3317 − 0.6970i  −0.1386 − 0.8824i  −0.1323 − 0.4437i  −0.1015 − 0.1372i  −0.5682 − 0.4500i  −0.6739 − 0.1435i  −0.3597 − 0.3401i  −0.3660 − 0.1204i  −0.6004 − 0.8922i  −0.2120 − 1.2253i  −0.9594 − 1.0714i  −0.5829 − 1.3995i  −0.8439 − 0.5675i  −0.9769 − 0.1959i  −1.2239 − 0.6760i  −1.3653 − 0.2323i 

TABLE 11 CR = 13/15 SNR = 19.5 dB 5.9520 + 8.0850i 7.7190 + 5.8400i 1.4580 + 9.5540i 5.2690 + 5.3190i 8.1410 + 1.1460i 7.5190 + 3.3690i 5.5910 + 1.0300i 5.1640 + 3.0900i 1.0520 + 6.8620i 1.0230 + 4.7460i 3.2380 + 7.4900i 3.1000 + 5.0750i 1.0890 + 0.9100i 1.0060 + 2.7780i 3.2870 + 0.9710i 3.0440 + 2.9450i −5.9520 + 8.0850i  −7.7190 + 5.8400i  −1.4580 + 9.5540i  −5.2690 + 5.3190i  −8.1410 + 1.1460i  −7.5190 + 3.3690i  −5.5910 + 1.0300i  −5.1640 + 3.0900i  −1.0520 + 6.8620i  −1.0230 + 4.7460i  −3.2380 + 7.4900i  −3.1000 + 5.0750i  −1.0890 + 0.9100i  −1.0060 + 2.7780i  −3.2870 + 0.9710i  −3.0440 + 2.9450i  5.9520 − 8.0850i 7.7190 − 5.8400i 1.4580 − 9.5540i 5.2690 − 5.3190i 8.1410 − 1.1460i 7.5190 − 3.3690i 5.5910 − 1.0300i 5.1640 − 3.0900i 1.0520 − 6.8620i 1.0230 − 4.7460i 3.2380 − 7.4900i 3.1000 − 5.0750i 1.0890 − 0.9100i 1.0060 − 2.7780i 3.2870 − 0.9710i 3.0440 − 2.9450i −5.9520 − 8.0850i  −7.7190 − 5.8400i  −1.4580 − 3.5540i  −5.2690 − 5.3190i  −8.1410 − 1.1460i  −7.5190 − 3.3690i  −5.5910 − 1.0300i  −5.1640 − 3.0900i  −1.0520 − 6.8620i  −1.0230 − 4.7460i  −3.2380 − 7.4900i  −3.1000 − 5.0750i  −1.0890 − 0.9100i  −1.0060 − 2.7780i  −3.2870 − 0.9710i  −3.0440 − 2.9450i 

TABLE 12 CR = 5/15 SNR = 10 dB 1.467 + 0.993i 1.216 + 0.823i 1.215 + 0.820i 1.151 + 0.775i 1.751 + 0.343i 1.435 + 0.289i 1.435 + 0.288i 1.360 + 0.272i 0.887 + 0.534i 0.903 + 0.552i 0.903 + 0.548i 0.917 + 0.564i 1.003 + 0.243i 1.025 + 0 246i 1.025 + 0.244i 1.047 + 0.245i 0.969 + 1.486i 0.802 + 1.214i 0.796 + 1.221i 0.759 + 1.153i 0.340 + 1.742i 0.275 + 1.422i 0.280 + 1.419i 0.263 + 1.347i 0.532 + 0.884i 0.547 + 0.902i 0.549 + 0 902i 0.561 + 0.916i 0.243 + 0.996i 0.243 + 1.017i 0.245 + 1.018i 0.245 + 1.039i 0.317 + 0.178i 0.319 + 0.179i 0.318 + 0.178i 0.318 + 0.178i 0.317 + 0.164i 0.316 + 0.165i 0.319 + 0.164i 0.318 + 0.163i 0.576 + 0.312i 0.582 + 0.315i 0.581 + 0.316i 0.589 + 0.319i 0.611 + 0.218i 0.620 + 0.219i 0.618 + 0.218i 0.627 + 0.219i 0.179 + 0.316i 0.179 + 0.315i 0.181 + 0.316i 0.180 + 0.316i 0.165 + 0.315i 0.156 + 0.313i 0.165 + 0.316i 0.165 + 0.316i 0.310 + 0.571i 0.314 + 0.576i 0.315 + 0.577i 0.320 + 0.582i 0.216 + 0.609i 0.219 + 0.615i 0.218 + 0.619i 0.220 + 0.623i −1.467 + 0.993i  −1.216 + 0.823i  −1.215 + 0.820i  −1.151 + 0.775i  −1.751 + 0.343i  −1.435 + 0.289i  −1.435 + 0.288i  −1.360 + 0.272i  −0.887 + 0.534i  −0.903 + 0.552i  −0.903 + 0.548i  −0.917 + 0.564i  −1.003 + 0.243i  −1.025 + 0.246i  −1.025 + 0.244i  −1.047 + 0.245i  −0.969 + 1.486i  −0.802 + 1.214i  −0.796 + 1.221i  −0.759 + 1.153i  −0.340 + 1.742i  −0.275 + 1.422i  −0.280 + 1.419i  −0.263 + 1.347i  −0.532 + 0.884i  −0.547 + 0.902i  −0.549 + 0.902i  −0.561 + 0.916i  −0.243 + 0.996i  −0.243 + 1.017i  −0.245 + 1.018i  −0.245 + 1.039i  −0.317 + 0.178i  −0.319 + 0.179i  −0.318 + 0.178i  −0.318 + 0.178i  −0.317 + 0.164i  −0.316 + 0.165i  −0.319 + 0.164i  −0.318 + 0.163i  −0.576 + 0.312i  −0.582 + 0.315i  −0.581 + 0.315i  −0.589 + 0.319i  −0.611 + 0.218i  −0.620 + 0.219i  −0.618 + 0.218i  −0.627 + 0 219i  −0.179 + 0.316i  −0.179 + 0.315i  −0.181 + 0.316i  −0.180 + 0.316i  −0.165 + 0.315i  −0.166 + 0.318i  −0.165 + 0.316i  −0.165 + 0.316i  −0.310 + 0.571i  −0.314 + 0.576i  −0.315 + 0.577i  −0.320 + 0.582i  −0.216 + 0.609i  −0.219 + 0.615i  −0.218 + 0.619i  −0.220 + 0.623i  1.467 − 0.993i 1.216 − 0.823i 1.215 − 0.820i 1.151 − 0.775i 1.751 − 0.343i 1.435 − 0.289i 1.435 − 0.288i 1.360 − 0.272i 0.887 − 0.534i 0.903 − 0.552i 0.903 − 0.548i 0.917 − 0.564i 1.003 − 0.243i 1.025 − 0.246i 1.025 − 0.244i 1.047 − 0.245i 0.969 − 1.486i 0.802 − 1.214i 0.796 − 1.221i 0.759 − 1.153i 0.340 − 1.742i 0.275 − 1.422i 0.280 − 1.419i 0.263 − 1.347i 0.532 − 0.884i 0.547 − 0.902i 0.549 − 0.902i 0.561 − 0.916i 0.243 − 0.996i 0.243 − 1.017i 0.245 − 1.018i 0.245 − 1.039i 0.317 − 0.178i 0.319 − 0.179i 0.318 − 0.178i 0.318 − 0.178i 0.317 − 0.164i 0.316 − 0.165i 0.319 − 0.164i 0.318 − 0.163i 0.576 − 0.312i 0.582 − 0.315i 0.581 − 0.316i 0.589 − 0.319i 0.611 − 0.218i 0.620 − 0.219i 0.618 − 0.218i 0.627 − 0.219i 0.179 − 0.316i 0.179 − 0.315i 0.181 − 0.316i 0.180 − 0.316i 0.165 − 0.315i 0.166 − 0.318i 0.165 − 0.316i 0.165 − 0.316i 0.310 − 0.571i 0.314 − 0.576i 0.315 − 0.577i 0.320 − 0.582i 0.216 − 0.609i 0.219 − 0.615i 0.218 − 0.619i 0.220 − 0.623i −1.467 − 0.993i  −1.216 − 0.823i  −1.215 − 0.820i  −1.151 − 0.775i  −1.751 − 0.343i  −1.435 − 0.289i  −1.435 − 0.288i  −1.360 − 0.272i  −0.887 − 0.534i  −0.903 − 0.552i  −0.903 − 0.548i  −0.917 − 0.564i  −1.003 − 0.243i  −1.025 − 0.246i  −1.025 − 0.244i  −1.047 − 0.245i  −0.969 − 1.486i  −0.802 − 1.214i  −0.796 − 1.221i  −0.759 − 1.153i  −0.340 − 1.742i  −0.275 − 1.422i  −0.280 − 1.419i  −0.263 − 1.347i  −0.532 − 0.884i  −0.547 − 0.902i  −0.549 − 0.902i  −0.561 − 0.916i  −0.243 − 0.996i  −0.243 − 1.017i  −0.245 − 1.018i  −0.245 − 1.039i  −0.317 − 0.178i  −0.319 − 0.179i  −0.318 − 0.178i  −0.318 − 0.178i  −0.317 − 0.164i  −0.316 − 0.165i  −0.319 − 0.164i  −0.318 − 0.163i  −0.576 − 0.312i  −0.582 − 0.315i  −0.581 − 0.316i  −0.589 − 0.319i  −0.611 − 0.218i  −0.620 − 0.219i  −0.618 − 0.218i  −0.527 − 0.219i  −0.179 − 0.316i  −0.179 − 0.315i  −0.181 − 0.316i  −0.180 − 0.316i  −0.165 − 0 315i  −0.166 − 0.318i  −0.165 − 0.316i  −0.165 − 0.316i  −0.310 − 0.571i  −0.314 − 0.576i  −0.315 − 0.577i  −0.320 − 0.582i  −0.216 − 0.609i  −0.219 − 0.615i  −0.218 − 0.619i  −0.220 − 0.623i 

TABLE 13 CR = 7/15 SNR = 13.5 dB 1.2905 + 1.3099i 1.0504 + 0.9577i 1.5329 + 0.8935i 1.1577 + 0.8116i 1.7881 + 0.2509i 1.4275 + 0.1400i 1.4784 + 0.5201i 1.3408 + 0.4346i 0.7837 + 0.5867i 0.8250 + 0.6455i 0.8256 + 0.5601i 0.8777 + 0.6110i 1.0080 + 0.1843i 1.0759 + 0.1721i 1.0056 + 0.2758i 1.0662 + 0.2964i 0.8334 + 1.5554i 0.8165 + 1.1092i 0.6092 + 1.2729i 0.6728 + 1.1456i 0.3061 + 1.7469i 0.1327 + 1.4056i 0.3522 + 1.3414i 0.2273 + 1.3081i 0.5007 + 0.8098i 0.5528 + 0.8347i 0.4843 + 0.8486i 0.5304 + 0.8759i 0.1715 + 0.9147i 0 1540 + 0.9510i 0.1964 + 0.9438i 0.1788 + 0.9832i 0.3752 + 0.1667i 0.3734 + 0.1667i 0.3758 + 0.1661i 0.3746 + 0.1649i 0.4013 + 0.1230i 0.4001 + 0.1230i 0.4037 + 0.1230i 0.4019 + 0.1218i 0.6025 + 0.3934i 0.5946 + 0.3928i 0.6116 + 0.3879i 0.6019 + 0.3837i 0.7377 + 0.1618i 0.7298 + 0.1582i 0.7274 + 0.1782i 0.7165 + 0.1746i 0.1509 + 0.2425i 0.1503 + 0.2400i 0.1515 + 0.2437i 0.1503 + 0.2425i 0.1285 + 0.2388i 0.1279 + 0.2419i 0.1279 + 0.2431i 0.1279 + 0.2406i 0.3394 + 0.5764i 0.3364 + 0.5722i 0.3328 + 0.5758i 0.3303 + 0.5698i 0.1491 + 0.6316i 0.1461 + 0.6280i 0.1509 + 0.6280i 0.1473 + 0.6225i −1.2905 + 1.3099i  −1.0504 + 0.9577i  −1.5329 + 0.8935i  −1.1577 + 0.8116i  −1.7881 + 0.2509i  −1.4275 + 0.1400i  −1.4784 + 0.5201i  −1.3408 + 0.4346i  −0.7837 + 0.5867i  −0.8250 + 0.6455i  −0.8256 + 0.5601i  −0.8777 + 0.6110i  −1.0080 + 0.1843i  −1.0759 + 0.1721i  −1.0056 + 0.2758i  −1.0662 + 0.2964i  −0.8334 + 1.5554i  −0.8165 + 1.1092i  −0.6092 + 1.2729i  −0.6728 + 1.1456i  −0.3061 + 1.7469i  −0.1327 + 1.4056i  −0.3522 + 1.3414i  −0.2273 + 1.3081i  −0.5007 + 0.8098i  −0.5528 + 0.8347i  −0.4843 + 0.8486i  −0.5304 + 0.8759i  −0.1715 + 0.9147i  −0.1540 + 0.9510i  −0.1964 + 0.9438i  −0.1788 + 0.9832i  −0.3752 + 0.1667i  −0.3734 + 0.1667i  −0.3758 + 0.1661i  −0.3746 + 0.1649i  −0.4013 + 0.1230i  −0.4001 + 0.1230i  −0.4037 + 0.1230i  −0.4019 + 0 1218i  −0.6025 + 0.3934i  −0.5946 + 0.3928i  −0.6116 + 0.3879i  −0.6019 + 0.3837i  −0.7377 + 0.1618i  −0.7298 + 0.1582i  −0.7274 + 0.1782i  −0.7165 + 0.1746i  −0.1509 + 0.2425i  −0.1503 + 0.2400i  −0.1515 + 0.2437i  −0.1503 + 0.2425i  −0.1285 + 0.2388i  −0.1279 + 0.2419i  −0.1279 + 0.2431i  −0.1279 + 0.2406i  −0.3394 + 0.5764i  −0.3364 + 0.5722i  −0.3328 + 0.5758i  −0.3303 + 0.5698i  −0.1491 + 0.6316i  −0.1461 + 0.6280i  −0.1509 + 0.6280i  −0.1473 + 0.6225i  1.2905 − 1.3099i 1.0504 − 0.9577i 1.5329 − 0.8935i 1.1577 − 0.8116i 1.7881 − 0.2509i 1.4275 − 0.1400i 1.4784 − 0.5201i 1.3408 − 0.4346i 0.7837 − 0.5867i 0.8250 − 0.6455i 0.8256 − 0.5601i 0.8777 − 0.6110i 1.0080 − 0.1843i 1.0759 − 0.1721i 1.0056 − 0.2758i 1.0662 − 0.2964i 0.8334 − 1.5554i 0.8165 − 1.1092i 0.6092 − 1.2729i 0.6728 − 1.1456i 0.3061 − 1.7469i 0.1327 − 1.4056i 0.3522 − 1.3414i 0.2273 − 1.3081i 0.5007 − 0.8098i 0.5528 − 0.8347i 0.4843 − 0.8486i 0.5304 − 0.8759i 0.1715 − 0.9147i 0.1540 − 0.9510i 0.1964 − 0.9438i 0.1788 − 0.9832i 0.3752 − 0.1667i 0.3734 − 0.1667i 0.3758 − 0.1661i 0.3746 − 0.1649i 0.4013 − 0.1230i 0.4001 − 0.1230i 0.4037 − 0.1230i 0.4019 − 0.1218i 0.6025 − 0.3934i 0.5946 − 0.3928i 0.6116 − 0.3879i 0.6019 − 0.3837i 0.7377 − 0.1618i 0.7298 − 0.1582i 0.7274 − 0.1782i 0.7155 − 0.1746i 0.1509 − 0.2425i 0.1503 − 0.2400i 0.1515 − 0.2437i 0.1503 − 0.2425i 0.1285 − 0.2388i 0.1279 − 0.2419i 0.1279 − 0.2431i 0.1279 − 0.2406i 0.3394 − 0.5764i 0.3364 − 0.5722i 0.3328 − 0.5758i 0.3303 − 0.5698i 0.1491 − 0.6316i 0.1461 − 0.6280i 0.1509 − 0.6280i 0.1473 − 0.6225i −1.2905 − 1.3099i  −1.0504 − 0.9577i  −1.5329 − 0.8935i  −1.1577 − 0.8116i  −1.7881 − 0.2509i  −1.4275 − 0.1400i  −1.4784 − 0.5201i  −1.3408 − 0.4346i  −0.7837 − 0.5867i  −0.8250 − 0.6455i  −0.8256 − 0.5601i  −0.8777 − 0.6110i  −1.0080 − 0.1843i  −1.0759 − 0.1721i  −1.0056 − 0.2758i  −1.0662 − 0.2964i  −0.8334 − 1.5554i  −0.8165 − 1.1092i  −0.6092 − 1.2729i  −0.6728 − 1.1456i  −0.3061 − 1.7469i  −0.1327 − 1.4056i  −0.3522 − 1.3414i  −0.2273 − 1.3081i  −0.5007 − 0.8098i  −0.5528 − 0.8347i  −0.4843 − 0.8486i  −0.5304 − 0.8759i  −0.1715 − 0.9147i  −0.1540 − 0.9510i  −0.1964 − 0.9438i  −0.1788 − 0.9832i  −0.3752 − 0.1667i  −0.3734 − 0.1667i  −0.3758 − 0.1661i  −0.3746 − 0.1649i  −0.4013 − 0.1230i  −0.4001 − 0.1230i  −0.4037 − 0.1230i  −0.4019 − 0.1218i  −0.6025 − 0.3934i  −0.5946 − 0.3928i  −0.6116 − 0.3879i  −0.6019 − 0.3837i  −0.7377 − 0.1618i  −0.7298 − 0.1582i  −0.7274 − 0.1782i  −0.7165 − 0.1746i  −0.1509 − 0.2425i  −0.1503 − 0.2400i  −0.1515 − 0.2437i  −0.1503 − 0.2425i  −0.1285 − 0.2388i  −0.1279 − 0.2419i  −0.1279 − 0.2431i  −0.1279 − 0.2406i  −0.3394 − 0.5764i  −0.3364 − 0.5722i  −0.3328 − 0.5758i  −0.3303 − 0.5698i  −0.1491 − 0.6316i  −0.1461 − 0.6280i  −0.1509 − 0.6280i  −0.1473 − 0.6225i 

TABLE 14 CR = 9/15 SNR = 17 dB  1.3231 + 1.1506i  0.9851 + 1.2311i  1.1439 + 0.8974i  0.9343 + 0.9271i  1.5398 + 0.7952i  0.9092 + 0.5599i  1.2222 + 0.6574i  0.9578 + 0.6373i  0.7748 + 1.5867i  0.6876 + 1.2489i  0.5992 + 0.9208i  0.6796 + 0.9743i  0.5836 + 0.5879i  0.6915 + 0.5769i  0.5858 + 0.7058i  0.6868 + 0.6793i  1.6118 + 0.1497i  0.9511 + 0.1140i  1.2970 + 0.1234i  1.0266 + 0.1191i  1.5831 + 0.4496i  0.9328 + 0.3586i  1.2796 + 0.3894i  1.0188 + 0.3447i  0.5940 + 0.1059i  0.7215 + 0.1100i  0.5863 + 0.1138i  0.6909 + 0.1166i  0.5843 + 0.3604i  0.6970 + 0.3592i  0.5808 + 0.3250i  0.6678 + 0.3290i  0.1406 + 1.6182i  0.1272 + 1.2984i  0.1211 + 0.9644i  0.1220 + 1.0393i  0.1124 + 0.6101i  0.1177 + 0.6041i  0.1136 + 0.7455i  0.1185 + 0.7160i  0.4324 + 1.5679i  0.3984 + 1.2825i  0.3766 + 0.9534i  0.3668 + 1.0301i  0.3667 + 0.5995i  0.3328 + 0.5960i  0.3687 + 0.7194i  0.3373 + 0.6964i  0.1065 + 0.1146i  0.1145 + 0.1108i  0.1053 + 0.1274i  0.1134 + 0.1236i  0.1111 + 0.3821i  0.1186 + 0.3867i  0.1080 + 0.3431i  0.1177 + 0.3459i  0.3644 + 0.1080i  0.3262 + 0.1104i  0.3681 + 0.1173i  0.3289 + 0.1196i  0.3665 + 0.3758i  0.3310 + 0.3795i  0.3672 + 0.3353i  0.3336 + 0.3402i −1.3231 + 1.1506i −0.9851 + 1.2311i −1.1439 + 0.8974i −0.9343 + 0.9271i −1.5398 + 0.7962i −0.9092 + 0.5599i −1.2222 + 0.6574i −0.9579 + 0.6373i −0.7748 + 1.5867i −0.6876 + 1.2489i −0.5992 + 0.0208i −0.6796 + 0.9743i −0.5836 + 0.5879i −0.6915 + 0.5769i −0.5858 + 0.7058i −0.6868 + 0.6793i −1.6118 + 0.1497i −0.9511 + 0.1140i −1.2970 + 0.1234i −1.0266 + 0.1191i −1.5831 + 0.4496i −0.9328 + 0.3586i −1.2796 + 0.3894i −1.0188 + 0.3447i −0.5940 + 0.1059i −0.7215 + 0.1100i −0.5863 + 0.1138i −0.6909 + 0.1166i −0.5843 + 0.3604i −0.6970 + 0.3592i −0.5808 + 0.3250i −0.6678 + 0.3290i −0.1406 + 1.6182i −0.1272 + 1.2984i −0.1211 + 0.9644i −0.1220 + 1.0393i −0.1124 + 0.6101i −0.1177 + 0.6041i −0.1136 + 0.7455i −0.1185 + 0.7160i −0.4324 + 1.5679i −0.3984 + 1.2825i −0.3766 + 0.9534i −0.3668 + 1.0301i −0.3567 + 0.5995i −0.3328 + 0.5960i −0.3687 + 0.7194i −0.3373 + 0.6964i −0.1065 + 0.1146i −0.1145 + 0.1108i −0.1053 + 0.1274i −0.1134 + 0.1236i −0.1111 + 0.3821i −0.1186 + 0.3867i −0.1080 + 0.3431i −0.1177 + 0.3459i −0.3644 + 0.1080i −0.3262 + 0.1104i −0.3681 + 0.1173i −0.3289 + 0.1196i −0.3665 + 0.3758i −0.3310 + 0.3795i −0.3672 + 0.3353i −0.3336 + 0.3402i  1.3231 − 1.1506i  0.9851 − 1.2311i  1.1439 − 0.8974i  0.9343 − 0.9271i  1.5398 − 0.7962i  0.9092 − 0.5599i  1.2222 − 0.6574i  0.9579 − 0.6373i  0.7748 − 1.5867i  0.6876 − 1.2489i  0.5992 − 0.9208i  0.6796 − 0.9743i  0.5336 − 0.5879i  0.6915 − 0.5769i  0.5858 − 0.7058i  0.6868 − 0.6793i  1.6113 − 0.1497i  0.9511 − 0.1140i  1.2970 − 0.1234i  1.0266 − 0.1191i  1.5881 − 0.4496i  0.9328 − 0.3586i  1.2796 − 0.3894i  1.0188 − 0.3447i  0.5940 − 0.1059i  0.7215 − 0.1100i  0.5863 − 0.1138i  0.6909 − 0.1166i  0.5843 − 0.3604i  0.6970 − 0.3592i  0.5808 − 0.3250i  0.6678 − 0.3290i  0.1406 − 1.6182i  0.1272 − 1.2984i  0.1211 − 0.9644i  0.1220 − 1.0393i  0.1124 − 0.6101i  0.1177 − 0.6041i  0.1136 − 0.7455i  0.1185 − 0.7160i  0.4324 − 1.5679i  0.3984 − 1.2825i  0.3766 − 0.9534i  0.3668 − 1.0301i  0.3667 − 0.5995i  0.3328 − 0.5960i  0.3687 − 0.7194i  0.3373 − 0.6964i  0.1065 − 0.1146i  0.1145 − 0.1108i  0.1053 − 0.1274i  0.1134 − 0.1236i  0.1111 − 0.3821i  0.1186 − 0.3867i  0.1080 − 0.3431i  0.1177 − 0.3459i  0:3644 − 0.1080i  0.3262 − 0.1104i  0.3681 − 0.1173i  0.3289 − 0.1196i  0.3665 − 0.3758i  0.3310 − 0.3795i  0.3672 − 0.3353i  0.3336 − 0.3402i −1.3231 − 1.1506i −0.9851 − 1.2311i −1.1439 − 0.8974i −0.9343 − 0.9271i −1.5398 − 0.7962i −0.9092 − 0.5599i −1.2222 − 0.6574i −0.9579 − 0.6373i −0.7748 − 1.5867i −0.6876 − 1.2489i −0.5992 − 0.9208i −0.6796 − 0.9743i −0.5836 − 0.5879i −0.6915 − 0.5769i −0.5858 − 0.7058i −0.6868 − 0.6793i −1.6118 − 0.1497i −0.9511 − 0.1140i −1.2970 − 0.1234i −1.0266 − 0.1191i −1.5831 − 0.4496i −0.9328 − 0.3586i −1.2796 − 0.3894i −1.0188 − 0.3447i −0.5940 − 0.1059i −0.7215 − 0.1100i −0.5863 − 0.1138i −0.6909 − 0.1166i −0.5843 − 0.3604i −0.6970 − 0.3592i −0.5808 − 0.3250i −0.6678 − 0.3290i −0.1406 − 1.6182i −0.1272 − 1.2984i −0.1211 − 0.9644i −0.1220 − 1.0393i −0.1124 − 0.6101i −0.1177 − 0.6041i −0.1136 − 0.7455i −0.1185 − 0.7160i −0.4324 − 1.5679i −0.3984 − 1.2825i −0.3766 − 0.9534i −0.3668 − 1.0301i −0.3667 − 0.5995i −0.3328 − 0.5960i −0.3687 − 0.7194i −0.3373 − 0.6964i −0.1065 − 0.1146i −0.1145 − 0.1108i −0.1053 − 0.1274i −0.1134 − 0.1236i −0.1111 − 0.3821i −0.1186 − 0.3867i −0.1080 − 0.3431i −0.1177 − 0.3459i −0.3644 − 0.1080i −0.3262 − 0.1104i −0.3681 − 0.1173i −0.3289 − 0.1196i −0.3665 − 0.3758i −0.3310 − 0.3795i −0.3672 − 0.3353i −0.3336 − 0.3402i

TABLE 15 CR = 11/15 SNR = 20.5 dB  0.3105 + 0.3382i  0.4342 + 0.3360i  0.3149 + 0.4829i  0.4400 + 0.4807i  0.1811 + 0.3375i  0.0633 + 0.3404i  0.1818 + 0.4851i  0.0633 + 0.4815i  0.3084 + 0.1971i  0.4356 + 0.1993i  0.3098 + 0.0676i  0.4342 + 0.0691i  0.1775 + 0.1985i  0.0640 + 0.1978i  0.1775 + 0.0676i  0.0647 + 0.0669i  0.7455 + 0.3411i  0.5811 + 0.3396i  0.7556 + 0.4669i  0.5862 + 0.4756i  0.9556 + 0.3280i  1.1767 + 0.3091i  0.9673 + 0.4720i  1.2051 + 0.5135i  0.7367 + 0.2015i  0.5811 + 0.2015i  0.7316 + 0.0669i  0.5782 + 0.0669i  0.9062 + 0.1971i  1.2829 + 0.1185i  0.9156 + 0.0735i  1.1011 + 0.0735i  0.3244 + 0.8044i  0.4589 + 0.8218i  0.3207 + 0.6415i  0.4509 + 0.6371i  0.1920 + 0.8196i  0.0633 + 0.8167i  0.1811 + 0.6371i  0.0640 + 0.6415i  0.3331 + 1.0669i  0.4655 + 1.0087i  0.3433 + 1.2865i  0.5004 + 1.5062i  0.1971 + 1.0051i  0.0735 + 1.0298i  0.1498 + 1.5018i  0.0865 + 1.2553i  0.7811 + 0.8080i  0.6167 + 0.8153i  0.7636 + 0.6255i  0.6000 + 0.6327i  0.9898 + 0.7680i  1.5855 + 0.1498i  0.9476 + 0.6175i  1.4625 + 0.4015i  0.8276 + 1.0225i  0.6313 + 1.0364i  0.8815 + 1.2865i  0.6342 + 1.2705i  1.0422 + 0.9593i  1.2749 + 0.8538i  1.1556 + 1.1847i  1.4771 + 0.6742i −0.3105 + 0.3382i −0.4342 + 0.3360i −0.3149 + 0.4829i −0.4400 + 0.4807i −0.1811 + 0.3375i −0.0633 + 0.3404i −0.1818 + 0.4851i −0.0633 + 0.4815i −0.3084 + 0.1971i −0.4356 + 0.1993i −0.3098 + 0.0676i −0.4342 + 0.0691i −0.1775 + 0.1985i −0.0640 + 0.1978i −0.1775 + 0.0676i −0.0647 + 0.0669i −0.7455 + 0.3411i −0.5811 + 0.3396i −0.7556 + 0.4669i −0.5862 + 0.4756i −0.9556 + 0.3280i −1.1767 + 0.3091i −0.9673 + 0.4720i −1.2051 + 0.5135i −0.7367 + 0.2015i −0.5811 + 0.2015i −0.7316 + 0.0669i −0.5782 + 0.0669i −0.9062 + 0.1971i −1.2829 + 0.1185i −0.9156 + 0.0735i −1.1011 + 0.0735i −0.3244 + 0.8044i −0.4589 + 0.8218i −0.3207 + 0.6415i −0.4509 + 0.6371i −0.1920 + 0.8196i −0.0633 + 0.8167i −0.1811 + 0.6371i −0.0640 + 0.6415i −0.3331 + 1.0669i −0.4655 + 1.0087i −0.3433 + 1.2865i −0.5004 + 1.5062i −0.1971 + 1.0051i −0.0735 + 1.0298i −0.1498 + 1.5018i −0.0865 + 1.2553i −0.7811 + 0.8080i −0.6167 + 0.8153i −0.7636 + 0.6255i −0.6000 + 0.6327i −0.9898 + 0.7680i −1.5855 + 0.1498i −0.9476 + 0.6175i −1.4625 + 0.4015i −0.8276 + 1.0225i −0.6313 + 1.0364i −0.8815 + 1.2865i −0.6342 + 1.2705i −1.0422 + 0.9593i −1.2749 + 0.8538i −1.1556 + 1.1847i −1.4771 + 0.6742i  0.3105 − 0.3382i  0.4342 − 0.3360i  0.3149 − 0.4829i  0.4400 − 0.4807i  0.1811 − 0.3375i  0.0633 − 0.3404i  0.1818 − 0.4851i  0.0633 − 0.4815i  0.3084 − 0.1971i  0.4356 − 0.1993i  0.3098 − 0.0676i  0.4342 − 0.0591i  0.1775 − 0.1985i  0.0640 − 0.1978i  0.1775 − 0.0676i  0.0647 − 0.0069i  0.7455 − 0.3411i  0.5811 − 0.3396i  0.7555 − 0.4669i  0.5862 − 0.4756i  0.9556 − 0.3280i  1.1767 − 0.3091i  0.9673 − 0.4720i  1.2051 − 0.5135i  0.7367 − 0.2015i  0.5811 − 0.2015i  0.7316 − 0.0669i  0.5782 − 0.0669i  0.9062 − 0.1971i  1.2829 − 0.1185i  0.9156 − 0.0735i  1.1011 − 0.0735i  0.3244 − 0.8044i  0.4589 − 0.8218i  0.3207 − 0.6415i  0.4509 − 0.6371i  0.1920 − 0.8196i  0.0633 − 0.8167i  0.1811 − 0.6371i  0.0640 − 0.6415i  0.3331 − 1.0669i  0.4655 − 1.0087i  0.3433 − 1.2865i  0.5004 − 1.5062i  0.1971 − 1.0051i  0.0735 − 1.0298i  0.1498 − 1.5018i  0.0865 − 1.2553i  0.7811 − 0.8080i  0.6167 − 0.8153i  0.7636 − 0.6255i  0.6000 − 0.6327i  0.9898 − 0.7680i  1.5855 − 0.1498i  0.9476 − 0.6175i  1.4625 − 0.4015i  0.8275 − 1.0225i  0.6313 − 1.0364i  0.8815 − 1.2865i  0.6342 − 1.2705i  1.0422 − 0.9593i  1.2749 − 0.8538i  1.1556 − 1.1847i  1.4771 − 0.6742i −0.3105 − 0.3382i −0.4342 − 0.3360i −0.3149 − 0.4829i −0.4400 − 0.4807i −0.1811 − 0.3375i −0.0633 − 0.3404i −0.1818 − 0.4851i −0.0633 − 0.4815i −0.3084 − 0.1971i −0.4356 − 0.1993i −0.3098 − 0.0676i −0.4342 − 0.0691i −0.1775 − 0.1985i −0.0640 − 0.1978i −0.1775 − 0.0676i −0.0647 − 0.0669i −0.7455 − 0.3411i −0.5811 − 0.3396i −0.7556 − 0.4669i −0.5862 − 0.4756i −0.9556 − 0.3280i −1.1767 − 0.3091i −0.9673 − 0.4720i −1.2051 − 0.5135i −0.7367 − 0.2015i −0.5811 − 0.2015i −0.7316 − 0.0669i −0.5782 − 0.0669i −0.9062 − 0.1971i −1.2829 − 0.1185i −0.9156 − 0.0735i −1.1011 − 0.0735i −0.2244 − 0.8044i −0.4589 − 0.8218i −0.3207 − 0.6415i −0.4609 − 0.6371i −0.1920 − 0.8196i −0.0633 − 0.8167i −0.1811 − 0.6371i −0.0640 − 0.6415i −0.3331 − 1.0669i −0.4655 − 1.0087i −0.3433 − 1.2865i −0.5004 − 1.5062i −0.1971 − 1.0051i −0.0735 − 1.0298i −0.1498 − 1.5018i −0.0865 − 1.2553i −0.7811 − 0.8080i −0.6167 − 0.8153i −0.7636 − 0.6255i −0.6000 − 0.6327i −0.9898 − 0.7680i −1.5853 − 0.1498i −0.9476 − 0.6175i −1.4625 − 0.4015i −0.8275 − 1.0225i −0.6313 − 1.0364i −0.8815 − 1.2865i −0.6342 − 1.2705i −1.0422 − 0.9593i −1.2749 − 0.8538i −1.1556 − 1.1847i −1.4771 − 0.6742i

TABLE 16 CR = 13/15 SNR = 24.5 dB  0.3556 + 0.3497i  0.3579 + 0.4945i  0.5049 + 0.3571i  0.5056 + 0.5063i  0.2123 + 0.3497i  0.2116 + 0.4900i  0.0713 + 0.3489i  0.0690 + 0.4960i  0.3527 + 0.2086i  0.3497 + 0.0713i  0.4960 + 0.2123i  0.4974 + 0.0698i  0.2086 + 0.2079i  0.2094 + 0.0690i  0.0676 + 0.2079i  0.0698 + 0.0683i  0.3586 + 0.7959i  0.3571 + 0.6392i  0.5034 + 0.8271i  0.5063 + 0.6600i  0.2146 + 0.7862i  0.2109 + 0.6340i  0.0713 + 0.8093i  0.0698 + 0.6467i  0.2799 + 1.0862i  0.2806 + 1.2755i  0.4328 + 0.9904i  0.4551 + 1.1812i  0.2309 + 0.9414i  0.1077 + 1.3891i  0.0772 + 0.9852i  0.0802 + 1.1753i  0.8301 + 0.3727i  0.8256 + 0.5256i  0.6593 + 0.3668i  0.6623 + 0.5182i  1.0186 + 0.3645i  1.0001 + 0.5242i  1.1857 + 0.2725i  1.3928 + 0.3408i  0.8011 + 0.2227i  0.7981 + 0.0735i  0.6459 + 0.2198i  0.6430 + 0.0713i  0.9681 + 0.2205i  0.9615 + 0.0735i  1.3327 + 0.1039i  1.1359 + 0.0809i  0.8382 + 0.8709i  0.8145 + 0.6934i  0.6645 + 0.8486i  0.6600 + 0.6786i  1.1612 + 0.6949i  0.9785 + 0.6942i  1.3698 + 0.6259i  1.2183 + 0.4841i  0.7989 + 1.0498i  0.4395 + 1.4203i  0.6118 + 1.0246i  0.6303 + 1.2421i  1.0550 + 0.8924i  0.8612 + 1.2800i  1.2696 + 0.8969i  1.0342 + 1.1181i −0.3556 + 0.3497i −0.3579 + 0.4945i −0.5049 + 0.3571i −0.5056 + 0.5063i −0.2123 + 0.3497i −0.2116 + 0.4900i −0.0713 + 0.3489i −0.0690 + 0.4960i −0.3527 + 0.2086i −0.3497 + 0.0713i −0.4960 + 0.2123i −0.4974 + 0.0693i −0.2086 + 0.2079i −0.2094 + 0.0690i −0.0576 + 0.2079i −0.0698 + 0.0683i −0.3586 + 0.7959i −0.3571 + 0.6392i −0.5034 + 0.8271i −0.5063 + 0.6600i −0.2146 + 0.7862i −0.2109 + 0.6340i −0.0713 + 0.8093i −0.0698 + 0.6467i −0.2799 + 1.0862i −0.2806 + 1.2755i −0.4328 + 0.9904i −0.4551 + 1.1812i −0.2309 + 0.9414i −0.1077 + 1.3891i −0.0772 + 0.9852i −0.0802 + 1.1753i −0.8301 + 0.3727i −0.8256 + 0.5256i −0.6593 + 0.3668i −0.6623 + 0.5182i −1.0186 + 0.3645i −1.0001 + 0.5242i −1.1857 + 0.2725i −1.3928 + 0.3408i −0.8011 + 0.2227i −0.7981 + 0.0735i −0.6459 + 0.2198i −0.6430 + 0.0713i −0.9681 + 0.2205i −0.9615 + 0.0735i −1.3327 + 0.1039i −1.1359 + 0.0809i −0.8382 + 0.8709i −0.8145 + 0.6934i −0.6645 + 0.8486i −0.6600 + 0.6786i −1.1612 + 0.6949i −0.9785 + 0.6942i −1.3698 + 0.6259i −1.2183 + 0.4841i −0.7989 + 1.0498i −0.4395 + 1.4203i −0.6118 + 1.0246i −0.6303 + 1.2421i −1.0550 + 0.8924i −0.8612 + 1.2800i −1.2696 + 0.8969i −1.0342 + 1.1181i  0.3556 − 0.3497i  0.3579 − 0.4945i  0.5049 − 0.3571i  0.5056 − 0.5063i  0.2123 − 0.3497i  0.2116 − 0.4900i  0.0713 − 0.3489i  0.0690 − 0.4960i  0.3527 − 0.2086i  0.3497 − 0.0713i  0.4960 − 0.2123i  0.4974 − 0.0698i  0.2086 − 0.2079i  0.2094 − 0.0690i  0.0676 − 0.2079i  0.0698 − 0.0683i  0.3586 − 0.7959i  0.3571 − 0.6392i  0.5034 − 0.8271i  0.5063 − 0.6600i  0.2146 − 0.7862i  0.2109 − 0.6340i  0.0713 − 0.8093i  0.0698 − 0.6467i  0.2799 − 1.0862i  0.2806 − 1.2755i  0.4328 − 0.9904i  0.4551 − 1.1812i  0.2309 − 0.9414i  0.1077 − 1.3891i  0.0772 − 0.9852i  0.0802 − 1.1753i  0.8301 − 0.3727i  0.8256 − 0.5256i  0.6593 − 0.3668i  0.6623 − 0.5182i  1.0156 − 0.3645i  1.0001 − 0.5242i  1.1857 − 0.2725i  1.3928 − 0.3408i  0.8011 − 0.2227i  0.7981 − 0.0735i  0.6459 − 0.2198i  0.6430 − 0.0713i  0.9681 − 0.2205i  0.9615 − 0.0735i  1.3327 − 0.1039i  1.1359 − 0.0809i  0.8382 − 0.8709i  0.8145 − 0.6934i  0.6545 − 0.8486i  0.6600 − 0.6786i  1.1612 − 0.6949i  0.9785 − 0.6942i  1.3698 − 0.6259i  1.2183 − 0.4841i  0.7989 − 1.0498i  0.4395 − 1.4203i  0.6118 − 1.0246i  0.6303 − 1.2421i  1.0550 − 0.8924i  0.8612 − 1.2800i  1.2696 − 0.8969i  1.0342 − 1.1181i −0.3556 − 0.3497i −0.3579 − 0.4945i −0.5049 − 0.3571i −0.5056 − 0.5063i −0.2123 − 0.3497i −0.2116 − 0.4900i −0.0713 − 0.3489i −0.0690 − 0.4960i −0.3527 − 0.2086i −0.3497 − 0.0713i −0.4960 − 0.2123i −0.4974 − 0.0698i −0.2086 − 0.2079i −0.2094 − 0.0690i −0.0676 − 0.2079i −0.0698 − 0.0683i −0.3585 − 0.7959i −0.3571 − 0.6392i −0.5034 − 0.8271i −0.5063 − 0.6600i −0.2145 − 0.7862i −0.2109 − 0.6340i −0.0713 − 0.8093i −0.0698 − 0.6467i −0.2799 − 1.0862i −0.2806 − 1.2755i −0.4328 − 0.9904i −0.4551 − 1.1812i −0.2309 − 0.9414i −0.1077 − 1.3891i −0.0772 − 0.9852i −0.0802 − 1.1753i −0.8301 − 0.3727i −0.8256 − 0.5256i −0.6593 − 0.3668i −0.6623 − 0.5182i −1.0186 − 0.3645i −1.0001 − 0.5242i −1.1857 − 0.2725i −1.3928 − 0.3408i −0.8011 − 0.2227i −0.7981 − 0.0735i −0.6459 − 0.2198i −0.6430 − 0.0713i −0.9681 − 0.2205i −0.9615 − 0.0735i −1.3327 − 0.1039i −1.1359 − 0.0809i −0.8382 − 0.8709i −0.8145 − 0.6934i −0.6645 − 0.8486i −0.6600 − 0.6786i −1.1612 − 0.6949i −0.9785 − 0.6942i −1.3698 − 0.6259i −1.2183 − 0.4841i −0.7989 − 1.0498i −0.4395 − 1.4203i −0.6118 − 1.0246i −0.6303 − 1.2421i −1.0550 − 0.8924i −0.8612 − 1.2800i −1.2696 − 0.8969i −1.0342 − 1.1181i

TABLE 17 CR = 5/15 SNR = 13 dB 1 1 1 1 2.586207 2.586207 2.62069 2.62069 4.758621 4.793103 5.206897 5.137931 7.344828 7.586207 8.758621 11.06897

TABLE 18 CR = 7/15 SNR = 17 dB 1.000000 1.000000 1.040000 1.040000 3.000000 3.040000 3.280000 3.320000 5.240000 5.320000 6.040000 6.280000 8.240000 8.840000 11.040000 13.680000

TABLE 19 CR = 9/15 SNR = 20.5 dB 1.000000 1.000000 2.785714 2.785714 4.857143 4.857143 6.857143 6.857143 9.142857 9.285714 11.571429 12.214286 14.642857 16.428571 19.428571 23.285714

TABLE 20 CR = 11/15 SNR = 25 dB 1.000000 1.166667 3.083333 3.333333 5.166667 5.750000 7.416667 8.500000 10.083333 11.583333 13.333333 15.250000 17.333333 19.750000 22.416667 25.533333

TABLE 21 CR = 13/15 SNR = 29.5 dB 1.000000 2.857143 4.857143 6.857143 8.857143 11.000000 13.285714 15.714286 18.142857 20.714286 23.428571 26.285714 29.285714 32.428571 35.714286 39.428571

Annex to the Description—Annex 8

TABLE 22 CR 7/15 CR 9/15 CR 11/15 CR 13/15 Label Constellation Label Constellation Label Constellation Label Constellation 0 1.5177 + 1.5177i 0 1.4645 + 1.4645i 0 1.3885 + 1.3885i 0 1.3184 + 1.3184i 1 1.5177 + 1.2375i 1 1.4645 + 1.2234i 1 1.3885 + 1.2157i 1 1.3184 + 1.1795i 2 1.2375 + 1.5177i 2 1.2234 + 1.4645i 2 1.2157 + 1.3885i 2 1.1795 + 1.3184i 3 1.2375 + 1.2375i 3 1.2234 + 1.2234i 3 1.2157 + 1.2157i 3 1.1795 + 1.1795i 4 1.5177 + 0.9252i 4 1.4645 + 0.9218i 4 1.3885 + 0.9431i 4 1.3184 + 0.9498i 5 1.5177 + 1.0200i 5 1.4645 + 1.0366i 5 1.3885 + 1.0703i 5 1.3184 + 1.0588i 6 1.2375 + 0.9252i 6 1.2234 + 0.9218i 6 1.2157 + 0.9431i 6 1.1795 + 0.9498i 7 1.2375 + 1.0200i 7 1.2234 + 1.0366i 7 1.2157 + 1.0703i 7 1.1795 + 1.0588i 8 0.9252 + 1.5177i 8 0.9218 + 1.4645i 8 0.9431 + 1.3885i 8 0.9498 + 1.3184i 9 0.9252 + 1.2375i 9 0.9218 + 1.2234i 9 0.9431 + 1.2157i 9 0.9498 + 1.1795i 10 1.0200 + 1.5177i 10 1.0366 + 1.4645i 10 1.0703 + 1.3885i 10 1.0588 + 1.3184i 11 1.0200 + 1.2375i 11 1.0366 + 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0.0967i 194 0.1052 + 0.1056i 194 0.0641 + 0.0640i 194 0.0640 + 0.0501i 194 0.0967 + 0.0325i 195 0.1052 + 0.1052i 195 0.0641 + 0.0641i 195 0.0640 + 0.0640i 195 0.0967 + 0.0967i 196 0.1056 + 0.1263i 196 0.0640 + 0.1752i 196 0.0501 + 0.1844i 196 0.0325 + 0.2280i 197 0.1056 + 0.1260i 197 0.0640 + 0.1753i 197 0.0501 + 0.1616i 197 0.0325 + 0.1623i 198 0.1052 + 0.1263i 198 0.0641 + 0.1752i 198 0.0640 + 0.1844i 198 0.0967 + 0.2280i 199 0.1052 + 0.1260i 199 0.0641 + 0.1753i 199 0.0640 + 0.1616i 199 0.0967 + 0.1623i 200 0.1263 + 0.1056i 200 0.1752 + 0.0640i 200 0.1844 + 0.0501i 200 0.2280 + 0.0325i 201 0.1263 + 0.1052i 201 0.1752 + 0.0641i 201 0.1844 + 0.0640i 201 0.2280 + 0.0967i 202 0.1260 + 0.1056i 202 0.1753 + 0.0640i 202 0.1616 + 0.0501i 202 0.1623 + 0.0325i 203 0.1260 + 0.1052i 203 0.1753 + 0.0641i 203 0.1616 + 0.0640i 203 0.1623 + 0.0967i 204 0.1263 + 0.1263i 204 0.1752 + 0.1752i 204 0.1844 + 0.1844i 204 0.2280 + 0.2280i 205 0.1263 + 0.1260i 205 0.1752 + 0.1753i 205 0.1844 + 0.1616i 205 0.2280 + 0.1623i 206 0.1260 + 0.1263i 206 0.1753 + 0.1752i 206 0.1616 + 0.1844i 206 0.1623 + 0.2280i 207 0.1260 + 0.1260i 207 0.1753 + 0.1753i 207 0.1616 + 0.1616i 207 0.1623 + 0.1623i 208 0.1056 + 0.3821i 208 0.0640 + 0.4342i 208 0.0501 + 0.4684i 208 0.0325 + 0.5100i 209 0.1056 + 0.3842i 209 0.0640 + 0.4332i 209 0.0501 + 0.4042i 209 0.0325 + 0.4361i 210 0.1052 + 0.3821i 210 0.0641 + 0.4342i 210 0.0640 + 0.4684i 210 0.0967 + 0.5100i 211 0.1052 + 0.3842i 211 0.0641 + 0.4332i 211 0.0640 + 0.4042i 211 0.0967 + 0.4361i 212 0.1056 + 0.3188i 212 0.0640 + 0.3073i 212 0.0501 + 0.2761i 212 0.0325 + 0.2957i 213 0.1056 + 0.3200i 213 0.0640 + 0.3069i 213 0.0501 + 0.3180i 213 0.0325 + 0.3645i 214 0.1052 + 0.3188i 214 0.0641 + 0.3073i 214 0.0640 + 0.2761i 214 0.0967 + 0.2957i 215 0.1052 + 0.3200i 215 0.0641 + 0.3069i 215 0.0640 + 0.3180i 215 0.0967 + 0.3645i 216 0.1263 + 0.3821i 216 0.1752 + 0.4342i 216 0.1844 + 0.4684i 216 0.2280 + 0.5100i 217 0.1263 + 0.3842i 217 0.1752 + 0.4332i 217 0.1844 + 0.4042i 217 0.2280 + 0.4361i 218 0.1260 + 0.3821i 218 0.1753 + 0.4342i 218 0.1616 + 0.4684i 218 0.1623 + 0.5100i 219 0.1260 + 0.3842i 219 0.1753 + 0.4332i 219 0.1616 + 0.4042i 219 0.1623 + 0.4361i 220 0.1263 + 0.3188i 220 0.1752 + 0.3073i 220 0.1844 + 0.2761i 220 0.2280 + 0.2957i 221 0.1263 + 0.3200i 221 0.1752 + 0.3069i 221 0.1844 + 0.3180i 221 0.2280 + 0.3645i 222 0.1260 + 0.3188i 222 0.1753 + 0.3073i 222 0.1616 + 0.2761i 222 0.1623 + 0.2957i 223 0.1260 + 0.3200i 223 0.1753 + 0.3069i 223 0.1616 + 0.3180i 223 0.1623 + 0.3645i 224 0.3821 + 0.1056i 224 0.4342 + 0.0640i 224 0.4684 + 0.0501i 224 0.5100 + 0.0325i 225 0.3821 + 0.1052i 225 0.4342 + 0.0641i 225 0.4684 + 0.0640i 225 0.5100 + 0.0967i 226 0.3842 + 0.1056i 226 0.4332 + 0.0640i 226 0.4042 + 0.0501i 226 0.4361 + 0.0325i 227 0.3842 + 0.1052i 227 0.4332 + 0.0641i 227 0.4042 + 0.0640i 227 0.4361 + 0.0967i 228 0.3821 + 0.1263i 228 0.4342 + 0.1752i 228 0.4684 + 0.1844i 228 0.5100 + 0.2280i 229 0.3821 + 0.1260i 229 0.4342 + 0.1753i 229 0.4684 + 0.1616i 229 0.3100 + 0.1623i 230 0.3842 + 0.1263i 230 0.4332 + 0.1752i 230 0.4042 + 0.1844i 230 0.4361 + 0.2280i 231 0.3842 + 0.1260i 231 0.4332 + 0.1753i 231 0.4042 + 0.1616i 231 0.4361 + 0.1623i 232 0.3188 + 0.1056i 232 0.3073 + 0.0640i 232 0.2761 + 0.0501i 232 0.2957 + 0.0325i 233 0.3188 + 0.1052i 233 0.3073 + 0.0641i 233 0.2761 + 0.0640i 233 0.2957 + 0.0967i 234 0.3200 + 0.1056i 234 0.3069 + 0.0640i 234 0.3180 + 0.0501i 234 0.3645 + 0.0325i 235 0.3200 + 0.1052i 235 0.3069 + 0.0641i 235 0.3180 + 0.0640i 235 0.3645 + 0.0967i 236 0.3188 + 0.1263i 236 0.3073 + 0.1752i 236 0.2761 + 0.1844i 236 0.2957 + 0.2280i 237 0.3188 + 0.1260i 237 0.3073 + 0.1753i 237 0.2761 + 0.1616i 237 0.2957 + 0.1623i 238 0.3200 + 0.1263i 238 0.3069 + 0.1752i 238 0.3180 + 0.1844i 238 0.3645 + 0.2280i 239 0.3200 + 0.1260i 239 0.3069 + 0.1753i 239 0.3180 + 0.1616i 239 0.3645 + 0.1623i 240 0.3821 + 0.3821i 240 0.4342 + 0.4342i 240 0.4684 + 0.4684i 240 0.5100 + 0.5100i 241 0.3821 + 0.3842i 241 0.4342 + 0.4332i 241 0.4684 + 0.4042i 241 0.5100 + 0.4361i 242 0.3842 + 0.3821i 242 0.4332 + 0.4342i 242 0.4042 + 0.4684i 242 0.4361 + 0.5100i 243 0.3842 + 0.3842i 243 0.4332 + 0.4332i 243 0.4042 + 0.4042i 243 0.4361 + 0.4361i 244 0.3821 + 0.3188i 244 0.4342 + 0.3073i 244 0.4684 + 0.2761i 244 0.5100 + 0.2957i 245 0.3821 + 0.3200i 245 0.4342 + 0.3069i 245 0.4684 + 0.3180i 245 0.5100 + 0.3645i 246 0.3842 + 0.3188i 246 0.4332 + 0.3073i 246 0.4042 + 0.2761i 246 0.4361 + 0.2957i 247 0.3842 + 0.3200i 247 0.4332 + 0.3069i 247 0.4042 + 0.3180i 247 0.4361 + 0.3645i 248 0.3188 + 0.3821i 248 0.3073 + 0.4342i 248 0.2761 + 0.4684i 248 0.2957 + 0.5100i 249 0.3188 + 0.3842i 249 0.3073 + 0.4332i 249 0.2761 + 0.4042i 249 0.2957 + 0.4361i 250 0.3200 + 0.3821i 250 0.3069 + 0.4342i 250 0.3180 + 0.4684i 250 0.3645 + 0.5100i 251 0.3200 + 0.3842i 251 0.3069 + 0.4332i 251 0.3180 + 0.4042i 251 0.3645 + 0.4361i 252 0.3188 + 0.3188i 252 0.3073 + 0.3073i 252 0.2761 + 0.2761i 252 0.2957 + 0.2957i 253 0.3188 + 0.3200i 253 0.3073 + 0.3069i 253 0.2761 + 0.3180i 253 0.2957 + 0.3645i 254 0.3200 + 0.3188i 254 0.3069 + 0.3073i 254 0.3180 + 0.2761i 254 0.3645 + 0.2957i 255 0.3200 + 0.3200i 255 0.3069 + 0.3069i 255 0.3180 + 0.3180i 255 0.3645 + 0.3645i

Annex to the Description—Annex 9

In certain exemplary embodiments, a two-dimensional constellation may be constructed from a set of one-dimensional levels according to the method described below. The specific example described below is based on the table for the CR 13/15, 1K constellation given in Annex 6, which is reproduced below.

CR 13/15 1 2.975413 4.997551 7.018692 9.102872 11.22209 13.42392 15.69921 18.09371 20.51366 23.2898 25.15568 29.23992 32.59361 36.30895 40.58404

The vector of levels may be denoted A={a_(i)}, i=0, 1, 2, . . . , L−1.

In a first step, the vector A is normalized to obtain a normalised vector Ā using the following formula:

$\overset{\_}{A} = \frac{A}{\sqrt{\frac{2}{L}{\sum_{i}a_{i}^{2}}}}$

where L is the number of levels (i.e. the dimensionality of A).

In this example, the resulting normalised vector Ā is indicated below.

CR 13/15 0.0325 0.0967 0.1623 0.228 0.2957 0.3645 0.4361 0.51 0.5878 0.6696 0.7566 0.8497 0.9498 1.0588 1.1795 1.3184

In a next step, the full constellation is generated as comprising all the possibilities of combinations of real and imaginary parts equal to one of the entries (i.e. components) of Ā. In certain exemplary embodiments, a gray mapping may be used.

In this example, the resulting constellation points of the first quadrant are indicated below.

Label (int.) Constellation 0 1.3184 + 1.3184i 1 1.3184 + 1.1795i 2 1.1795 + 1.3184i 3 1.1795 + 1.1795i 4 1.3184 + 0.9498i 5 1.3184 + 1.0588i 6 1.1795 + 0.9498i 7 1.1795 + 1.0588i 8 0.9498 + 1.3184i 9 0.9498 + 1.1795i 10 1.0588 + 1.3184i 11 1.0588 + 1.1795i 12 0.9498 + 0.9498i 13 0.9498 + 1.0588i 14 1.5088 + 0.9498i 15 1.0588 + 1.0588i 16 1.3184 + 0.5878i 17 1.3184 + 0.6698i 18 1.1795 + 0.5878i 19 1.1795 + 0.6696i 20 1.3184 + 0.8497i 21 1.3184 + 0.7566i 22 1.1795 + 0.8497i 23 1.1795 + 0.7566i 24 0.9498 + 0.5878i 25 0.9498 + 0.6696i 26 1.0588 + 0.5878i 27 1.0588 + 0.6696i 28 0.9498 + 0.8497i 29 0.9498 + 0.7566i 30 1.0588 + 0.8497i 31 1.0588 + 0.7566i 33 0.5878 + 1.1795i 34 0.6696 + 1.3184i 35 0.6696 + 1.1795i 36 0.5878 + 0.9498i 37 0.5878 + 1.0588i 38 0.6696 + 0.9498i 39 0.6696 + 1.0588i 40 0.8497 + 1.3184i 41 0.8497 + 1.1795i 42 0.7566 + 1.3184i 43 0.7566 + 1.1795i 44 0.8497 + 0.9498i 45 0.8497 + 1.0588i 46 0.7566 + 0.9498i 47 0.7566 + 1.0588i 48 0.5878 + 0.5878i 49 0.5878 + 0.6696i 50 0.6696 + 0.5878i 51 0.6696 + 0.6696i 52 0.5878 + 0.8497i 53 0.5878 + 0.7566i 54 0.6696 + 0.8497i 55 0.6696 + 0.7566i 56 0.8497 + 0.5878i 57 0.8497 + 0.6696i 58 0.7566 + 0.5878i 59 0.7566 + 0.6696i 60 0.8497 + 0.8497i 61 0.8497 + 0.7566i 62 0.7566 + 0.8497i 63 0.7566 + 0.7566i 64 1.3184 + 0.0325i 65 1.3184 + 0.0967i 66 1.1795 + 0.0325i 67 1.1795 + 0.0967i 68 1.3184 + 0.2280i 69 1.3184 + 0.1623i 70 1.1795 + 0.2280i 71 1.1795 + 0.1623i 72 0.9498 + 0.0325i 73 0.9498 + 0.0957i 74 1.0588 + 0.0325i 75 1.0588 + 0.0967i 76 0.9498 + 0.2280i 77 0.9498 + 0.1623i 78 1.0588 + 0.2280i 79 1.0588 + 0.1623i 80 1.3184 + 0.5100i 81 1.3184 + 0.4361i 82 1.1795 + 0.5100i 83 1.1795 + 0.4361i 84 1.3184 + 0.2957i 85 1.3184 + 0.3645i 86 1.1795 + 0.2957i 87 1.1795 + 0.3645i 88 0.9498 + 0.5100i 89 0.9498 + 0.4361i 90 1.0588 + 0.5100i 91 1.0588 + 0.4361i 92 0.9498 + 0.2957i 93 0.9498 + 0.3645i 94 1.0588 + 0.2957i 95 1.0588 + 0.3645i 96 0.5878 + 0.0325i 97 0.5878 + 0.9671i 98 0.6696 + 0.0325i 99 0.6696 + 0.0967i 100 0.5878 + 0.2280i 101 0.5878 + 0.1623i 102 0.6696 + 0.2280i 103 0.6696 + 0.1623i 104 0.8497 + 0.0325i 105 0.8497 + 0.0967i 106 0.7556 + 0.0325i 107 0.7566 + 0.0957i 108 0.8497 + 0.2280i 109 0.8497 + 0.1623i 110 0.7566 + 0.2280i 111 0.7566 + 0.1623i 112 0.5878 + 0.5100i 113 0.5878 + 0.4361i 114 0.6698 + 0.5100i 115 0.6696 + 0.4361i 116 0.5878 + 0.2957i 117 0.5878 + 0.3645i 118 0.6696 + 0.2957i 119 0.6696 + 0.3645i 120 0.8497 + 0.5100i 121 0.8497 + 0.4361i 122 0.7566 + 0.5100i 123 0.7566 + 0.4361i 124 0.8497 + 0.2957i 125 0.8497 + 0.3645i 126 0.7566 + 0.2957i 127 0.7566 + 0.3645i 128 0.0325 + 1.3184i 129 0.0325 + 1.1795i 130 0.0967 + 1.3184i 131 0.0967 + 1.1795i 132 0.0325 + 0.9498i 133 0.0325 + 1.0588i 134 0.0967 + 0.9498i 135 0.3967 + 1.0588i 136 0.2280 + 1.3184i 137 0.2280 + 1.1795i 138 0.1623 + 1.3184i 139 0.1623 + 1.1795i 140 0.2280 + 0.9498i 141 0.2280 + 1.0588i 142 0.1623 + 0.9498i 143 0.1623 + 1.0588i 144 0.0325 + 0.5878i 145 0.0925 + 0.6696i 146 0.0967 + 0.5878i 147 0.0967 + 0.6696i 148 0.0325 + 0.8497i 149 0.0325 + 0.7566i 150 0.0967 + 0.8497i 151 0.0967 + 0.7566i 152 0.2280 + 0.5878i 153 0.2280 + 0.6698i 154 0.1623 + 0.5878i 155 0.1623 + 0.6696i 156 0.2280 + 0.8497i 157 0.2280 + 0.7566i 158 0.1623 + 0.8497i 159 0.1623 + 0.7566i 160 0.5100 + 1.3184i 161 0.5100 + 1.1795i 162 0.4361 + 1.3184i 163 0.4361 + 1.1795i 164 0.5100 + 0.9498i 165 0.5100 + 1.0588i 166 0.4361 + 0.9498i 167 0.4361 + 1.0588i 168 0.2957 + 1.3184i 169 0.2957 + 1.1795i 170 0.3645 + 1.3184i 171 0.3645 + 1.1795i 172 0.2957 + 0.9498i 173 0.2957 + 1.0588i 174 0.3645 + 0.9498i 175 0.3645 + 1.0588i 176 0.5100 + 0.5878i 177 0.5100 + 0.6696i 178 0.4361 + 0.5878i 179 0.4361 + 0.6696i 180 0.5100 + 0.8497i 181 0.5100 + 0.7566i 182 0.4361 + 0.8497i 183 0.4361 + 0.7566i 184 0.2957 + 0.5878i 185 0.2957 + 0.6696i 186 0.3645 + 0.5878i 187 0.3645 + 0.6696i 188 0.2957 + 0.8497i 189 0.2957 + 0.7566i 190 0.3545 + 0.8497i 191 0.3545 + 0.7566i 192 0.0325 + 0.0325i 193 0.0325 + 0.0957i 194 0.0967 + 0.0325i 195 0.0967 + 0.0967i 196 0.0325 + 0.2280i 197 0.0325 + 0.1623i 198 0.0967 + 0.2280i 199 0.0957 + 0.1623i 200 0.2280 + 0.0325i 201 0.2280 + 0.0967i 202 0.1623 + 0.0325i 203 0.1623 + 0.0967i 204 0.2280 + 0.2280i 205 0.2280 + 0.1623i 206 0.1623 + 0.2280i 207 0.1623 + 0.1623i 208 0.0325 + 0.5100i 209 0.0325 + 0.4361i 210 0.0967 + 0.5100i 211 0.0967 + 0.4361i 212 0.0325 + 0.2957i 213 0.0325 + 0.3645i 214 0.0967 + 0.2957i 215 0.0967 + 0.3545i 216 0.2280 + 0.5100i 217 0.2280 + 0.4361i 218 0.1623 + 0.5100i 219 0.1623 + 0.4361i 220 0.2280 + 0.2957i 221 0.2280 + 0.3645i 222 0.1623 + 0.2957i 223 0.1623 + 0.3645i 224 0.5100 + 0.0325i 225 0.5100 + 0.0967i 226 0.4361 + 0.0325i 227 0.4361 + 0.0967i 228 0.5100 + 0.2280i 229 0.5100 + 0.1623i 230 0.4361 + 0.2280i 231 0.4361 + 0.1623i 232 0.2957 + 0.0325i 233 0.2957 + 0.0967i 234 0.3645 + 0.0325i 235 0.3645 + 0.0957i 236 0.2957 + 0.2280i 237 0.2957 + 0.1623i 238 0.3645 + 0.2280i 239 0.3645 + 0.1623i 240 0.5100 + 0.5100i 241 0.5100 + 0.4361i 242 0.4361 + 0.5100i 243 0.4361 + 0.4361i 244 0.5100 + 0.2957i 245 0.5100 + 0.3645i 246 0.4361 + 0.2957i 247 0.4361 + 0.3645i 248 0.2957 + 0.5100i 249 0.2957 + 0.4361i 250 0.3645 + 0.5100i 251 0.3645 + 0.4361i 252 0.2957 + 0.2957i 253 0.2957 + 0.3645i 254 0.3645 + 0.2957i 255 0.3645 + 0.3645i 256 1.3184 − 1.3184i 

1. A receiving method comprising: receiving a signal from a transmitting apparatus; demodulating the signal to generate values; deinterleaving the values; and decoding the deinterleaved values based on a low density parity check (LDPC) code, a code rate of the LDPC code being 11/15, wherein the signal is demodulated based on constellation point for 16-quadrature amplitude modulation (QAM), and wherein the constellation points comprise constellation points represented as below: 0.9342 + 0.9847i 0.9866 + 0.2903i 0.2716 + 0.9325i 0.2901 + 0.2695i


2. The method as claimed in claim 1, wherein the constellation points comprise the represented constellation points in one quadrant and constellation points in remaining quadrants, and wherein the constellation points in the remaining quadrants are obtained by indicating each constellation point a which is listed as a*, −a*, and −a, respectively, * indicating complex conjugation.
 3. A transmitting method comprising: interleaving a codeword comprising input bits and parity bits; demultiplexing bits of the interleaved codeword to cells; and mapping the cells to constellation points for 16-quadrature amplitude modulation (QAM), wherein the parity bits are generated by encoding the input bits based on a low density parity check (LDPC) code, a code rate of the LDPC code being 11/15, and wherein the constellation points comprise constellation points represented as below: 0.9342 + 0.9847i 0.9866 + 0.2903i 0.2716 + 0.9325i 0.2901 + 0.2695i


4. The method as claimed in claim 3, wherein the constellation points comprise the represented constellation points in one quadrant and constellation points in remaining quadrants, and wherein the constellation points in the remaining quadrants are obtained by indicating each constellation point a which is listed as a*, −a*, and −a, respectively, * indicating complex conjugation. 